mva-syndrome-exploreraaaa / data /table_catalog.json
Mieaz's picture
Deploy 219-Table Multi-Omics Omniverse Studio for MVA Syndrome
f3a4c3e verified
Raw History Blame Contribute Delete
107 kB
{
"total_tables": 235,
"categories": [
"Clinical & Phenomics",
"Chromosome Architecture",
"Gene Panels & Interactome",
"Mosaicism Spectrum",
"ACMG & In Silico Predictors",
"Precision Oncology & Pharma",
"Cytogenetics & Aneuploidy",
"Sequencing & Flowcell QC",
"Biophysical Kinetics",
"Comparative Oncology Cohorts"
],
"tables": [
{
"id": "clin_01_hpo_ontological_ic",
"category": "Clinical & Phenomics",
"title": "HPO Ontological Hierarchy & Information Content Scoring",
"description": "Ontological ancestry paths and calculated Information Content (IC) for proband clinical manifestations.",
"row_count": 8,
"columns_count": 6,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_02_classical_triad_scoring",
"category": "Clinical & Phenomics",
"title": "Classical MVA Diagnostic Triad Multi-Subtype Scoring",
"description": "Quantitative matching of patient findings against diagnostic hallmarks across MVA Subtypes 1 through 4.",
"row_count": 5,
"columns_count": 7,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_03_growth_fenton_trajectories",
"category": "Clinical & Phenomics",
"title": "Gestational & Postnatal Growth Percentile Trajectory Audit",
"description": "Anthropometric Z-scores and growth percentile deviations mapped against Fenton 2013 Preterm standards.",
"row_count": 5,
"columns_count": 6,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_04_erms_histopathology",
"category": "Clinical & Phenomics",
"title": "Embryonal Rhabdomyosarcoma (ERMS) Histopathology & Molecular Markers",
"description": "Histopathological examination, immunohistochemical profiling, and genetic fusion status of patient tumor.",
"row_count": 6,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_05_nephrocalcinosis_ultrasound",
"category": "Clinical & Phenomics",
"title": "Congenital Medullary Nephrocalcinosis Staging & Renal Sonography",
"description": "Renal ultrasound grading, parenchymal echogenicity, and corticomedullary differentiation metrics.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_06_calcium_phosphate_handling",
"category": "Clinical & Phenomics",
"title": "Renal Tubular Calcium & Phosphate Handling Biomarker Profile",
"description": "Serum electrolytes, fractional excretion indices, and urinary tubular transport metrics in proband.",
"row_count": 6,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_07_parental_recurrent_rpl",
"category": "Clinical & Phenomics",
"title": "Parental Recurrent Pregnancy Loss & Meiotic Nondisjunction History",
"description": "Reproductive genetic history, parental karyotypes, and chromosomal meiotic segregation failure analysis.",
"row_count": 4,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_08_satellite_cell_atrophy",
"category": "Clinical & Phenomics",
"title": "Skeletal Muscle Satellite Cell Depletion & Muscle Caliber Profile",
"description": "Myogenic stem cell proliferation capacity, muscle fiber caliber, and sarcomeric integrity in proband.",
"row_count": 4,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_09_microcephaly_neurodevelopment",
"category": "Clinical & Phenomics",
"title": "Congenital Microcephaly & Cortical Neurogenesis Vulnerability",
"description": "Radial glial cell division kinetics, cerebral cortex thickness, and neurodevelopmental tracking.",
"row_count": 4,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_10_wilms_nephroblastomatosis",
"category": "Clinical & Phenomics",
"title": "Wilms Tumor vs Nephroblastomatosis Predisposition Index",
"description": "Nephrogenic rest surveillance, WT1 locus variant screening, and renal neoplasia risk stratification.",
"row_count": 3,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_11_leukemogenesis_mds_risk",
"category": "Clinical & Phenomics",
"title": "Hematopoietic Clonal Instability & Bone Marrow Surveillance",
"description": "Peripheral blood smear cytogenetics, cytopenias, and clonal hematopoiesis surveillance metrics.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_12_pan_cancer_surveillance",
"category": "Clinical & Phenomics",
"title": "Comprehensive Pediatric Pan-Cancer Surveillance Schedule",
"description": "Evidence-based screening modalities, target organ systems, and surveillance frequency recommendations.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_13_confined_placental_mosaicism",
"category": "Clinical & Phenomics",
"title": "Confined Placental Mosaicism (CPM) vs Embryonic Aneuploidy Discrimination",
"description": "Chorionic villus sampling vs amniocyte discordance models in prenatal growth restriction.",
"row_count": 3,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_14_gh_igf1_endocrine_axis",
"category": "Clinical & Phenomics",
"title": "Hypothalamic-Pituitary-IGF1 Growth Axis Evaluation in MVA",
"description": "Endocrine hormone levels, growth hormone responsiveness, and cellular growth resistance indices.",
"row_count": 4,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_15_craniofacial_metrics",
"category": "Clinical & Phenomics",
"title": "Craniofacial Dysmorphic Measurements & Anthropometric Facial Indices",
"description": "Facial landmark dimensions, canthal distances, and palpebral fissure measurements.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_16_ophthalmic_cataracts_screen",
"category": "Clinical & Phenomics",
"title": "Ophthalmic & Retinal Aneuploidy Manifestation Screen",
"description": "Slit-lamp examination, corneal diameter, fundoscopy, and visual evoked potential findings.",
"row_count": 4,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_17_cardiovascular_echocardiogram",
"category": "Clinical & Phenomics",
"title": "Congenital Cardiovascular Screening & Echocardiography Matrix",
"description": "Doppler echocardiography, great vessel branching, and valvular structural evaluation in proband.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_18_lymphocyte_senescence",
"category": "Clinical & Phenomics",
"title": "Immune System T/B Cell Senescence & Lymphocyte Kinetics",
"description": "Flow cytometry lymphocyte subsets, immunoglobulin levels, and cellular senescence markers in MVA.",
"row_count": 6,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_19_dermatoglyphics_palmar_crease",
"category": "Clinical & Phenomics",
"title": "Dermatoglyphic Patterns & Minor Physical Aneuploidy Anomaly Audit",
"description": "Palmar crease patterns, fingertip ridge configurations, and axial triradius positions.",
"row_count": 4,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_20_hepatic_function_matrix",
"category": "Clinical & Phenomics",
"title": "Hepatic Parenchymal Function & Microvesicular Stability Matrix",
"description": "Liver enzymes, synthetic coagulopathy markers, and ultrasound parenchymal assessment in MVA.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_21_gastrointestinal_motility",
"category": "Clinical & Phenomics",
"title": "Gastrointestinal Autonomic Innervation & Motility Biomarkers",
"description": "Enteric neuronal migration, abdominal radiograph findings, and caloric absorption kinetics.",
"row_count": 4,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_22_adrenal_stress_cortisol",
"category": "Clinical & Phenomics",
"title": "Adrenocortical Function & Stress Response Biomarker Profile",
"description": "Basal cortisol, ACTH stimulation, and mineralocorticoid steroidogenesis in proband.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_23_radiosensitivity_guidelines",
"category": "Clinical & Phenomics",
"title": "Constitutional Radiosensitivity & Diagnostic Genotoxic Precautions",
"description": "Radiation exposure safety thresholds, chromosomal break induction, and imaging guidelines for MVA.",
"row_count": 4,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_24_familial_recurrence_counseling",
"category": "Clinical & Phenomics",
"title": "Autosomal Recessive vs De Novo Germline Mosaicism Recurrence Risk",
"description": "Mendelian inheritance models, parental carrier status, and recurrence risk for future pregnancies.",
"row_count": 4,
"columns_count": 5,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "clin_25_bayesian_differential_model",
"category": "Clinical & Phenomics",
"title": "Multi-Feature Bayesian Diagnostic Posterior Probability Model",
"description": "Bayesian posterior likelihood cross-matching for 12 rare syndromes presenting with growth restriction and tumors.",
"row_count": 8,
"columns_count": 6,
"tags": [
"Clinical",
"Phenomics"
]
},
{
"id": "chr_chr1_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR1 Fine-Grained Architecture & Locus Dynamics",
"description": "Largest autosome; contains CENPF corona kinesin-adapter and 1p36 subtelomeric fragile region. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR1.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr1",
"Genomics"
]
},
{
"id": "chr_chr2_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR2 Fine-Grained Architecture & Locus Dynamics",
"description": "Harbors BUB1 kinetochore kinase and ancient 2q13 hominid fusion telomeric junction. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR2.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr2",
"Genomics"
]
},
{
"id": "chr_chr3_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR3 Fine-Grained Architecture & Locus Dynamics",
"description": "Harbors FRA3B common fragile site; high sensitivity to aphidicolin replication stress. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR3.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr3",
"Genomics"
]
},
{
"id": "chr_chr4_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR4 Fine-Grained Architecture & Locus Dynamics",
"description": "Key checkpoint chromosome; encodes MAD2L1 spindle clamp and CENPE plus-end motor. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR4.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr4",
"Genomics"
]
},
{
"id": "chr_chr5_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR5 Fine-Grained Architecture & Locus Dynamics",
"description": "Critical MVA3 locus; harbors TRIP13 AAA+ ATPase disassembler and 5p telomerase core. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR5.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr5",
"Genomics"
]
},
{
"id": "chr_chr6_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR6 Fine-Grained Architecture & Locus Dynamics",
"description": "MHC immunological cluster and FRA6E fragile site; high somatic copy-number stability. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR6.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr6",
"Genomics"
]
},
{
"id": "chr_chr7_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR7 Fine-Grained Architecture & Locus Dynamics",
"description": "Encodes MAD1L1 kinetochore anchor dimer; frequent aneuploid missegregation in MVA. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR7.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr7",
"Genomics"
]
},
{
"id": "chr_chr8_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR8 Fine-Grained Architecture & Locus Dynamics",
"description": "High constitutional trisomy 8 variegation in MVA lymphocytes; MYC oncogene hub. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR8.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr8",
"Genomics"
]
},
{
"id": "chr_chr9_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR9 Fine-Grained Architecture & Locus Dynamics",
"description": "Encodes SMC5 chromosome decatenation subunit and 9q12 Satellite III pericentric heterochromatin. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR9.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr9",
"Genomics"
]
},
{
"id": "chr_chr10_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR10 Fine-Grained Architecture & Locus Dynamics",
"description": "Encodes BUB3 WD40 propeller scaffold and ZWINT KNL1-docking structural component. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR10.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr10",
"Genomics"
]
},
{
"id": "chr_chr11_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR11 Fine-Grained Architecture & Locus Dynamics",
"description": "Critical MVA2 locus; encodes CEP57 centriolar anchor and 11p15.5 imprinting cluster. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR11.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr11",
"Genomics"
]
},
{
"id": "chr_chr12_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR12 Fine-Grained Architecture & Locus Dynamics",
"description": "12q14 amplicon hub; harbors KRAS signaling and CDK4/MDM2 cell cycle machinery. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR12.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr12",
"Genomics"
]
},
{
"id": "chr_chr13_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR13 Fine-Grained Architecture & Locus Dynamics",
"description": "Acrocentric autosome with NOR rDNA arrays; harbors RB1 tumor suppressor and FOXO1 RMS locus. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR13.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr13",
"Genomics"
]
},
{
"id": "chr_chr14_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR14 Fine-Grained Architecture & Locus Dynamics",
"description": "Encodes DICER1 microRNA processing endoribonuclease and immunoglobulin heavy chain locus. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR14.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr14",
"Genomics"
]
},
{
"id": "chr_chr15_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR15 Fine-Grained Architecture & Locus Dynamics",
"description": "Primary MVA1 master locus; encodes BUB1B/BUBR1 spindle assembly checkpoint kinase. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR15.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr15",
"Genomics"
]
},
{
"id": "chr_chr16_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR16 Fine-Grained Architecture & Locus Dynamics",
"description": "Encodes PLK1 Polo-like master mitotic kinase and 16q23.2 FRA16D fragile region. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR16.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr16",
"Genomics"
]
},
{
"id": "chr_chr17_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR17 Fine-Grained Architecture & Locus Dynamics",
"description": "Harbors TP53 guardian of the genome; frequent 17p LOH in rhabdomyosarcoma progression. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR17.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr17",
"Genomics"
]
},
{
"id": "chr_chr18_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR18 Fine-Grained Architecture & Locus Dynamics",
"description": "Critical MVA4 locus; encodes CEP192 pericentriolar PCM scaffold and Aurora A recruiter. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR18.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr18",
"Genomics"
]
},
{
"id": "chr_chr19_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR19 Fine-Grained Architecture & Locus Dynamics",
"description": "Highest gene and variant density in human genome (1,922 / Mb); GC-rich isochore core. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR19.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr19",
"Genomics"
]
},
{
"id": "chr_chr20_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR20 Fine-Grained Architecture & Locus Dynamics",
"description": "Encodes AURKA Aurora Kinase A; centrosome maturation and spindle bipolarity hub. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR20.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr20",
"Genomics"
]
},
{
"id": "chr_chr21_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR21 Fine-Grained Architecture & Locus Dynamics",
"description": "Smallest acrocentric autosome; Down syndrome critical region and Robertsonian partner. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR21.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr21",
"Genomics"
]
},
{
"id": "chr_chr22_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHR22 Fine-Grained Architecture & Locus Dynamics",
"description": "Acrocentric chromosome; encodes CHEK2 checkpoint kinase and BCR-ABL translocation site. Analysis of variant density, SNV/Indel balance, and candidate loci on CHR22.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chr22",
"Genomics"
]
},
{
"id": "chr_chrX_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHRX Fine-Grained Architecture & Locus Dynamics",
"description": "Sex chromosome; subject to X-inactivation; frequent variegated loss in MVA lymphocytes. Analysis of variant density, SNV/Indel balance, and candidate loci on CHRX.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chrX",
"Genomics"
]
},
{
"id": "chr_chrY_structural_architecture",
"category": "Chromosome Architecture",
"title": "Chromosome CHRY Fine-Grained Architecture & Locus Dynamics",
"description": "Heterochromatic male sex chromosome; high somatic loss-of-Y (LOY) rate in aneuploid clones. Analysis of variant density, SNV/Indel balance, and candidate loci on CHRY.",
"row_count": 5,
"columns_count": 5,
"tags": [
"Chromosome",
"chrY",
"Genomics"
]
},
{
"id": "chr_cin70_burden_scores",
"category": "Chromosome Architecture",
"title": "CIN70 Chromosomal Instability Mutational Signature Scoring",
"description": "Mutational burden, VAF values, and GATK quality metrics across the classic 70-gene CIN70 signature.",
"row_count": 9,
"columns_count": 6,
"tags": [
"CIN70",
"Chromosomal Instability",
"Signatures"
]
},
{
"id": "chr_cosmic_sbs_profiles",
"category": "Chromosome Architecture",
"title": "COSMIC Single Base Substitution (SBS) Mutational Signatures in MVA",
"description": "Decomposition of patient whole-genome SNV callset into standard COSMIC v3.3 trinucleotide mutational signatures.",
"row_count": 5,
"columns_count": 6,
"tags": [
"COSMIC",
"Mutational Signatures",
"Trinucleotide"
]
},
{
"id": "chr_cn_loh_recombination_map",
"category": "Chromosome Architecture",
"title": "Segmental Copy-Neutral Loss-of-Heterozygosity (CN-LOH) Loci",
"description": "Contiguous homozygous variant stretches identifying mitotic recombination and uniparental disomy intervals.",
"row_count": 5,
"columns_count": 6,
"tags": [
"LOH",
"Mitotic Recombination",
"Copy Neutral"
]
},
{
"id": "chr_pericentromeric_satellite_fragility",
"category": "Chromosome Architecture",
"title": "Pericentromeric Heterochromatin Satellite Repeat Fragility Audit",
"description": "Satellite II/III repeat stability, classical centromere constriction, and pericentromeric variant clustering.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Heterochromatin",
"Pericentromere",
"Satellite Repeats"
]
},
{
"id": "chr_subtelomeric_recomb_caps",
"category": "Chromosome Architecture",
"title": "Subtelomeric Recombination Hotspots & Terminal Cap Integrity",
"description": "Terminal 2Mb repeat content, telomeric variant density, and subtelomeric rearrangement hotspots.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Subtelomeres",
"Recombination",
"Caps"
]
},
{
"id": "chr_cfs_breakage_indices",
"category": "Chromosome Architecture",
"title": "Common Fragile Sites (CFS) Breakage Susceptibility Index",
"description": "Genomic coordinates of aphidicolin-sensitive common fragile sites and structural break vulnerability in MVA.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Fragile Sites",
"Replication Stress",
"Breaks"
]
},
{
"id": "mit_bub1b_pseudokinase_clamp",
"category": "Gene Panels & Interactome",
"title": "BUB1B / BUBR1 Pseudokinase Domain & CDC20 Clamping Kinetics",
"description": "BUBR1 TPR motifs, KARD phospho-domain, and CDC20 binding clamp.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"BUB1B"
]
},
{
"id": "mit_cep57_centriole_inner_barrel",
"category": "Gene Panels & Interactome",
"title": "CEP57 Centriolar Inner Barrel Attachment & Tubulin Nucleation",
"description": "CEP57 coiled-coil inner wall anchoring and MVA2 nephrocalcinosis.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"CEP57"
]
},
{
"id": "mit_trip13_aaa_atpase_hexamer",
"category": "Gene Panels & Interactome",
"title": "TRIP13 AAA+ ATPase Hexameric Disassembly Engine",
"description": "ATP-dependent unfolding of C-MAD2 and mosaic somatic driver mechanics.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"TRIP13"
]
},
{
"id": "mit_cep192_pcm_aurora_recruitment",
"category": "Gene Panels & Interactome",
"title": "CEP192 Pericentriolar Matrix Scaffold & Kinase Co-Recruitment",
"description": "Centrosomal recruitment of AURKA and PLK1 in spindle bipolarity.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"CEP192"
]
},
{
"id": "mit_mad1l1_kinetochore_docking",
"category": "Gene Panels & Interactome",
"title": "MAD1L1 Coiled-Coil Dimerization & Kinetochore Corona Anchor",
"description": "MAD1-MAD2 catalytic template and corona expansion.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"MAD1L1"
]
},
{
"id": "mit_mad2l1_topological_safety_belt",
"category": "Gene Panels & Interactome",
"title": "MAD2L1 Topological Clamp & CDC20 Entrapment Dynamics",
"description": "Open-to-closed conformer transition and APC/C inhibition.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"MAD2L1"
]
},
{
"id": "mit_bub1_melt_phospho_cascade",
"category": "Gene Panels & Interactome",
"title": "BUB1 Kinase & KNL1 MELT Phosphorylation Hierarchy",
"description": "Multi-site phosphorylation of KNL1 coordinating outer kinetochore assembly.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"BUB1"
]
},
{
"id": "mit_bub3_wd40_beta_propeller",
"category": "Gene Panels & Interactome",
"title": "BUB3 7-Bladed WD40 \u03b2-Propeller & Phospho-MELT Reader",
"description": "Structural recognition of phosphorylated MELT motifs on KNL1.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"BUB3"
]
},
{
"id": "mit_cenpe_kinesin7_translocation",
"category": "Gene Panels & Interactome",
"title": "CENPE Kinesin-7 Motor Mechanics & Chromosome Congression",
"description": "Single-molecule stepping kinetics and metaphase alignment.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"CENPE"
]
},
{
"id": "mit_cenpf_corona_farnesylation",
"category": "Gene Panels & Interactome",
"title": "CENPF C-Terminal Farnesylation & Dynein Cargo Coupling",
"description": "Outer corona structural expansion and Dynein-Dynactin recruitment.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"CENPF"
]
},
{
"id": "mit_aurka_tpx2_spindle_bipolarity",
"category": "Gene Panels & Interactome",
"title": "Aurora Kinase A - TPX2 Allosteric Spindle Pole Organizer",
"description": "Centrosome maturation, spindle pole separation, and bipolarity.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"AURKA"
]
},
{
"id": "mit_plk1_polo_box_substrate_docking",
"category": "Gene Panels & Interactome",
"title": "PLK1 Polo-Box Domain Phosphopeptide Recognition",
"description": "Polo-box phosphopeptide docking and mitotic entry orchestration.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"PLK1"
]
},
{
"id": "mit_smc5_smc6_cohesin_decatenation",
"category": "Gene Panels & Interactome",
"title": "SMC5/6 Complex & Post-Replicative Decatenation Checkpoint",
"description": "Topoisomerase II assistance and chromosome arm resolution.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"SMC5"
]
},
{
"id": "mit_rad21_stag2_sister_cohesion",
"category": "Gene Panels & Interactome",
"title": "RAD21 / STAG2 Cohesin Ring Structure & Separase Cleavage",
"description": "Centromeric sister chromatid cohesion and anaphase trigger.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"RAD21"
]
},
{
"id": "mit_sgo1_shugoshin_pp2a_protection",
"category": "Gene Panels & Interactome",
"title": "SGO1 (Shugoshin) / PP2A Centromeric Cohesion Protector",
"description": "Protection of centromeric cohesin against prophase removal pathway.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"SGO1"
]
},
{
"id": "mit_haspin_histone_h3t3_cpc_docking",
"category": "Gene Panels & Interactome",
"title": "Haspin Kinase Phosphorylation of H3T3 & CPC Kinetochore Docking",
"description": "Centromeric targeting of the Chromosomal Passenger Complex (CPC).",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"HASPIN"
]
},
{
"id": "mit_aurkb_borealin_survivin_incenp",
"category": "Gene Panels & Interactome",
"title": "Aurora B Chromosomal Passenger Complex (CPC) Tension Sensing",
"description": "Phosphorylation of Ndc80 tail and error correction of syntelic attachments.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"AURKB"
]
},
{
"id": "mit_mps1_ttk_activation_loop",
"category": "Gene Panels & Interactome",
"title": "MPS1 / TTK Kinase Autophosphorylation & Checkpoint Initiation",
"description": "Kinetochore recruitment and MELT phosphorylation initiation.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"MPS1"
]
},
{
"id": "mit_zw10_rod_zwilch_rzz_complex",
"category": "Gene Panels & Interactome",
"title": "RZZ Complex (ROD-ZW10-Zwilch) & Kinetochore Corona Assembly",
"description": "Outer corona expansion and Spindly-Dynein adapter docking.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"ZW10"
]
},
{
"id": "mit_spindly_dynein_sac_stripping",
"category": "Gene Panels & Interactome",
"title": "Spindly Adapter & Dynein-Mediated Checkpoint Protein Stripping",
"description": "Mechanical transport of MAD2/BUBR1 along microtubules to centrosomes.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"SPINDLY"
]
},
{
"id": "mit_apc_c_cdc20_cdh1_degron_selection",
"category": "Gene Panels & Interactome",
"title": "APC/C E3 Ubiquitin Ligase D-Box & KEN-Box Degron Selection",
"description": "Ubiquitination of Securin and Cyclin B1 for anaphase onset.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"APC"
]
},
{
"id": "mit_securin_pttgl1_separase_inhibitor",
"category": "Gene Panels & Interactome",
"title": "Securin (PTTG1) Degradation & Separase Protease Activation",
"description": "Release of active Separase to cleave RAD21 cohesin rings.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"SECURIN"
]
},
{
"id": "mit_cyclin_b1_ccnb1_cdk1_clearance",
"category": "Gene Panels & Interactome",
"title": "Cyclin B1 / CDK1 Kinase Clearance Dynamics at Metaphase Exit",
"description": "Dephosphorylation cascade driving mitotic spindle disassembly.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"CYCLIN"
]
},
{
"id": "mit_p31comet_mad2l1bp_trip13_dock",
"category": "Gene Panels & Interactome",
"title": "p31(comet) Adapter Docking to Closed-MAD2 for TRIP13 Unfolding",
"description": "Structural adapter driving SAC silencing and checkpoint inactivation.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"P31COMET"
]
},
{
"id": "mit_ndc80_hec1_microtubule_coupling",
"category": "Gene Panels & Interactome",
"title": "Ndc80 (Hec1) Microtubule Coupling & Tension Elasticity",
"description": "Calponin homology domain binding to tubulin protofilaments.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"NDC80"
]
},
{
"id": "mit_knl1_casc5_melt_array_scaffold",
"category": "Gene Panels & Interactome",
"title": "KNL1 (CASC5) Multiple MELT Repeat Structural Scaffold",
"description": "Intrinsically disordered docking platform for BUB3-BUBR1 complexes.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"KNL1"
]
},
{
"id": "mit_mis12_dsn1_nsl1_pmf1_linker",
"category": "Gene Panels & Interactome",
"title": "Mis12 Complex Molecular Linker Between CENP-C and Ndc80",
"description": "Four-subunit bridging complex connecting inner centromere to outer plate.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"MIS12"
]
},
{
"id": "mit_cenpa_histone_h3_variant_nucleosome",
"category": "Gene Panels & Interactome",
"title": "CENP-A Centromeric Histone H3 Variant & Epigenetic Centromere",
"description": "Epigenetic specification of kinetochore assembly loci on satellite DNA.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"CENPA"
]
},
{
"id": "mit_cenpc_inner_kinetochore_cup",
"category": "Gene Panels & Interactome",
"title": "CENP-C Central Kinetochore Hub & Mis12-CENPA Bridging",
"description": "Direct interaction bridging CENP-A nucleosomes to outer Mis12 complex.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"CENPC"
]
},
{
"id": "mit_cenpt_inner_kinetochore_pathway",
"category": "Gene Panels & Interactome",
"title": "CENP-T Centromeric DNA-Binding & Direct Ndc80 Recruitment",
"description": "Alternative non-Mis12 pathway for outer kinetochore microtubule tethering.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"CENPT"
]
},
{
"id": "mit_kif2c_mcak_microtubule_depolymerase",
"category": "Gene Panels & Interactome",
"title": "KIF2C (MCAK) Kinetochore Microtubule Depolymerase",
"description": "Error correction of merotelic and syntelic microtubule-kinetochore attachments.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"KIF2C"
]
},
{
"id": "mit_clasp1_clasp2_microtubule_plus_end",
"category": "Gene Panels & Interactome",
"title": "CLASP1 / CLASP2 Kinetochore Plus-End Microtubule Rescuers",
"description": "Promotion of microtubule rescue and stabilization under tension.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"CLASP1"
]
},
{
"id": "mit_kif18a_kinesin8_length_dependent_motor",
"category": "Gene Panels & Interactome",
"title": "KIF18A Kinesin-8 Length-Dependent Microtubule Depolymerase",
"description": "Dampening of chromosome oscillations and metaphase alignment confinement.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"KIF18A"
]
},
{
"id": "mit_chmp4b_escrt_iii_micronucleus_repair",
"category": "Gene Panels & Interactome",
"title": "ESCRT-III (CHMP4B) Micronuclear Envelope Repair Complex",
"description": "Sealing of ruptured micronuclear envelopes to prevent DNA damage.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"CHMP4B"
]
},
{
"id": "mit_trex1_micronuclear_dna_exonuclease",
"category": "Gene Panels & Interactome",
"title": "TREX1 Endoplasmic Reticulum DNA Exonuclease & cGAS Degradation",
"description": "Cleavage of shattered micronuclear DNA fragments upon envelope collapse.",
"row_count": 3,
"columns_count": 6,
"tags": [
"Gene Panel",
"Mitotic Checkpoint",
"TREX1"
]
},
{
"id": "mos_strata_vaf_bin_01",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 01: TRIP13 c.1060G>A (27.8% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for TRIP13 c.1060G>A.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"TRIP13"
]
},
{
"id": "mos_strata_vaf_bin_02",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 02: BUB1B c.1972C>T (51.4% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for BUB1B c.1972C>T.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"BUB1B"
]
},
{
"id": "mos_strata_vaf_bin_03",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 03: CEP57 c.403C>T (51.4% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for CEP57 c.403C>T.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"CEP57"
]
},
{
"id": "mos_strata_vaf_bin_04",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 04: MAD1L1 c.1852C>T (22.2% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for MAD1L1 c.1852C>T.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"MAD1L1"
]
},
{
"id": "mos_strata_vaf_bin_05",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 05: CEP192 c.1504G>A (18.5% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for CEP192 c.1504G>A.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"CEP192"
]
},
{
"id": "mos_strata_vaf_bin_06",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 06: TP53 c.524G>A (34.2% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for TP53 c.524G>A.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"TP53"
]
},
{
"id": "mos_strata_vaf_bin_07",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 07: WT1 c.1180C>T (14.8% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for WT1 c.1180C>T.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"WT1"
]
},
{
"id": "mos_strata_vaf_bin_08",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 08: DICER1 c.5438A>G (11.2% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for DICER1 c.5438A>G.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"DICER1"
]
},
{
"id": "mos_strata_vaf_bin_09",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 09: CENPE c.7123G>A (48.9% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for CENPE c.7123G>A.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"CENPE"
]
},
{
"id": "mos_strata_vaf_bin_10",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 10: CENPF c.5461C>T (16.4% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for CENPF c.5461C>T.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"CENPF"
]
},
{
"id": "mos_strata_vaf_bin_11",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 11: PLK1 c.628G>A (9.5% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for PLK1 c.628G>A.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"PLK1"
]
},
{
"id": "mos_strata_vaf_bin_12",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 12: AURKA c.883A>G (100.0% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for AURKA c.883A>G.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"AURKA"
]
},
{
"id": "mos_strata_vaf_bin_13",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 13: SMC5 c.1441G>A (8.2% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for SMC5 c.1441G>A.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"SMC5"
]
},
{
"id": "mos_strata_vaf_bin_14",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 14: RAD21 c.1105C>T (6.4% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for RAD21 c.1105C>T.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"RAD21"
]
},
{
"id": "mos_strata_vaf_bin_15",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 15: SGO1 c.892A>G (5.1% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for SGO1 c.892A>G.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"SGO1"
]
},
{
"id": "mos_strata_vaf_bin_16",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 16: MPS1 c.2026A>T (4.3% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for MPS1 c.2026A>T.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"MPS1"
]
},
{
"id": "mos_strata_vaf_bin_17",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 17: ZWINT c.421G>A (3.8% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for ZWINT c.421G>A.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"ZWINT"
]
},
{
"id": "mos_strata_vaf_bin_18",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 18: KIF2C c.1684C>T (42.1% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for KIF2C c.1684C>T.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"KIF2C"
]
},
{
"id": "mos_strata_vaf_bin_19",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 19: CLASP1 c.2842G>A (31.5% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for CLASP1 c.2842G>A.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"CLASP1"
]
},
{
"id": "mos_strata_vaf_bin_20",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 20: KIF18A c.1340A>G (25.0% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for KIF18A c.1340A>G.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"KIF18A"
]
},
{
"id": "mos_strata_vaf_bin_21",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 21: CHMP4B c.412C>T (19.8% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for CHMP4B c.412C>T.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"CHMP4B"
]
},
{
"id": "mos_strata_vaf_bin_22",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 22: TREX1 c.589G>A (13.5% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for TREX1 c.589G>A.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"TREX1"
]
},
{
"id": "mos_strata_vaf_bin_23",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 23: BUB3 c.385A>G (7.8% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for BUB3 c.385A>G.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"BUB3"
]
},
{
"id": "mos_strata_vaf_bin_24",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 24: MAD2L1 c.398G>A (52.1% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for MAD2L1 c.398G>A.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"MAD2L1"
]
},
{
"id": "mos_strata_vaf_bin_25",
"category": "Mosaicism Spectrum",
"title": "Mosaicism Stratum 25: APC c.4348C>T (2.9% VAF) Lineage Profile",
"description": "Allelic fraction quantification, sequencing read support, and lineage allocation for APC c.4348C>T.",
"row_count": 4,
"columns_count": 7,
"tags": [
"Mosaicism",
"VAF",
"APC"
]
},
{
"id": "acmg_predictor_evaluation_01",
"category": "ACMG & In Silico Predictors",
"title": "AlphaMissense Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for AlphaMissense.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"AlphaMissense"
]
},
{
"id": "acmg_predictor_evaluation_02",
"category": "ACMG & In Silico Predictors",
"title": "REVEL Ensemble Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for REVEL Ensemble.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"REVEL"
]
},
{
"id": "acmg_predictor_evaluation_03",
"category": "ACMG & In Silico Predictors",
"title": "CADD Phred v1.6 Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for CADD Phred v1.6.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"CADD"
]
},
{
"id": "acmg_predictor_evaluation_04",
"category": "ACMG & In Silico Predictors",
"title": "SpliceAI CNN Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for SpliceAI CNN.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"SpliceAI"
]
},
{
"id": "acmg_predictor_evaluation_05",
"category": "ACMG & In Silico Predictors",
"title": "PrimateAI-3D Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for PrimateAI-3D.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"PrimateAI-3D"
]
},
{
"id": "acmg_predictor_evaluation_06",
"category": "ACMG & In Silico Predictors",
"title": "ESM-1b Transformer Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for ESM-1b Transformer.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"ESM-1b"
]
},
{
"id": "acmg_predictor_evaluation_07",
"category": "ACMG & In Silico Predictors",
"title": "ClinPred Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for ClinPred.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"ClinPred"
]
},
{
"id": "acmg_predictor_evaluation_08",
"category": "ACMG & In Silico Predictors",
"title": "MPC Sub-Genic Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for MPC Sub-Genic.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"MPC"
]
},
{
"id": "acmg_predictor_evaluation_09",
"category": "ACMG & In Silico Predictors",
"title": "MTR Sliding Window Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for MTR Sliding Window.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"MTR"
]
},
{
"id": "acmg_predictor_evaluation_10",
"category": "ACMG & In Silico Predictors",
"title": "GERP++ Conservation Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for GERP++ Conservation.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"GERP++"
]
},
{
"id": "acmg_predictor_evaluation_11",
"category": "ACMG & In Silico Predictors",
"title": "PhyloP 100-Way Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for PhyloP 100-Way.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"PhyloP"
]
},
{
"id": "acmg_predictor_evaluation_12",
"category": "ACMG & In Silico Predictors",
"title": "PhastCons Mammals Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for PhastCons Mammals.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"PhastCons"
]
},
{
"id": "acmg_predictor_evaluation_13",
"category": "ACMG & In Silico Predictors",
"title": "MutationTaster2 Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for MutationTaster2.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"MutationTaster2"
]
},
{
"id": "acmg_predictor_evaluation_14",
"category": "ACMG & In Silico Predictors",
"title": "FATHMM-XF Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for FATHMM-XF.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"FATHMM-XF"
]
},
{
"id": "acmg_predictor_evaluation_15",
"category": "ACMG & In Silico Predictors",
"title": "PROVEAN Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for PROVEAN.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"PROVEAN"
]
},
{
"id": "acmg_predictor_evaluation_16",
"category": "ACMG & In Silico Predictors",
"title": "SIFT4G Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for SIFT4G.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"SIFT4G"
]
},
{
"id": "acmg_predictor_evaluation_17",
"category": "ACMG & In Silico Predictors",
"title": "PolyPhen-2 HVAR Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for PolyPhen-2 HVAR.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"PolyPhen-2"
]
},
{
"id": "acmg_predictor_evaluation_18",
"category": "ACMG & In Silico Predictors",
"title": "VEST4 Forest Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for VEST4 Forest.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"VEST4"
]
},
{
"id": "acmg_predictor_evaluation_19",
"category": "ACMG & In Silico Predictors",
"title": "MetaSVM Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for MetaSVM.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"MetaSVM"
]
},
{
"id": "acmg_predictor_evaluation_20",
"category": "ACMG & In Silico Predictors",
"title": "MetaLR Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for MetaLR.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"MetaLR"
]
},
{
"id": "acmg_predictor_evaluation_21",
"category": "ACMG & In Silico Predictors",
"title": "BayesDel Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for BayesDel.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"BayesDel"
]
},
{
"id": "acmg_predictor_evaluation_22",
"category": "ACMG & In Silico Predictors",
"title": "LRT Conservation Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for LRT Conservation.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"LRT"
]
},
{
"id": "acmg_predictor_evaluation_23",
"category": "ACMG & In Silico Predictors",
"title": "DANN Deep Net Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for DANN Deep Net.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"DANN"
]
},
{
"id": "acmg_predictor_evaluation_24",
"category": "ACMG & In Silico Predictors",
"title": "Eigen-PC Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for Eigen-PC.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"Eigen-PC"
]
},
{
"id": "acmg_predictor_evaluation_25",
"category": "ACMG & In Silico Predictors",
"title": "GenoCanyon Pathogenicity Calibration & Machine Learning Performance",
"description": "Deleterious threshold calibrations, specificity, and ROC performance for GenoCanyon.",
"row_count": 4,
"columns_count": 6,
"tags": [
"ACMG",
"InSilico",
"GenoCanyon"
]
},
{
"id": "pharm_oncology_profile_01",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 01: Alisertib (MLN8237) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Alisertib (MLN8237).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Alisertib"
]
},
{
"id": "pharm_oncology_profile_02",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 02: Volasertib (BI 6727) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Volasertib (BI 6727).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Volasertib"
]
},
{
"id": "pharm_oncology_profile_03",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 03: CFI-402257 Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for CFI-402257.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"CFI-402257"
]
},
{
"id": "pharm_oncology_profile_04",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 04: Talazoparib (BMN 673) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Talazoparib (BMN 673).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Talazoparib"
]
},
{
"id": "pharm_oncology_profile_05",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 05: Olaparib (AZD2281) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Olaparib (AZD2281).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Olaparib"
]
},
{
"id": "pharm_oncology_profile_06",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 06: Milademetan (RAIN-32) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Milademetan (RAIN-32).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Milademetan"
]
},
{
"id": "pharm_oncology_profile_07",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 07: Vincristine Sulfate Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Vincristine Sulfate.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Vincristine"
]
},
{
"id": "pharm_oncology_profile_08",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 08: Cyclophosphamide Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Cyclophosphamide.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Cyclophosphamide"
]
},
{
"id": "pharm_oncology_profile_09",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 09: Dactinomycin Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Dactinomycin.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Dactinomycin"
]
},
{
"id": "pharm_oncology_profile_10",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 10: Dinaciclib (SCH 727965) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Dinaciclib (SCH 727965).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Dinaciclib"
]
},
{
"id": "pharm_oncology_profile_11",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 11: Adavosertib (MK-1775) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Adavosertib (MK-1775).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Adavosertib"
]
},
{
"id": "pharm_oncology_profile_12",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 12: Berzosertib (VX-970) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Berzosertib (VX-970).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Berzosertib"
]
},
{
"id": "pharm_oncology_profile_13",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 13: M3541 Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for M3541.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"M3541"
]
},
{
"id": "pharm_oncology_profile_14",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 14: Prexasertib (LY2606368) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Prexasertib (LY2606368).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Prexasertib"
]
},
{
"id": "pharm_oncology_profile_15",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 15: KIF18A Inhibitor CW069 Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for KIF18A Inhibitor CW069.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"KIF18A"
]
},
{
"id": "pharm_oncology_profile_16",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 16: KIFC1 / HSET Inhibitor Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for KIFC1 / HSET Inhibitor.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"KIFC1"
]
},
{
"id": "pharm_oncology_profile_17",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 17: GSK923295 Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for GSK923295.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"GSK923295"
]
},
{
"id": "pharm_oncology_profile_18",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 18: Bortezomib (PS-341) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Bortezomib (PS-341).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Bortezomib"
]
},
{
"id": "pharm_oncology_profile_19",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 19: Hydroxychloroquine Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Hydroxychloroquine.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Hydroxychloroquine"
]
},
{
"id": "pharm_oncology_profile_20",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 20: ADU-S100 (MIW815) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for ADU-S100 (MIW815).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"ADU-S100"
]
},
{
"id": "pharm_oncology_profile_21",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 21: Pembrolizumab Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Pembrolizumab.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Pembrolizumab"
]
},
{
"id": "pharm_oncology_profile_22",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 22: Selinexor (KPT-330) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Selinexor (KPT-330).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Selinexor"
]
},
{
"id": "pharm_oncology_profile_23",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 23: Vorinostat (SAHA) Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for Vorinostat (SAHA).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"Vorinostat"
]
},
{
"id": "pharm_oncology_profile_24",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 24: JQ1 BET Inhibitor Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for JQ1 BET Inhibitor.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"JQ1"
]
},
{
"id": "pharm_oncology_profile_25",
"category": "Precision Oncology & Pharma",
"title": "Precision Oncology Stratum 25: ARV-110 PROTAC Pharmacology & Synergy",
"description": "Cellular IC50 potency, synthetic lethality mechanism, and safety considerations for ARV-110 PROTAC.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Pharmacology",
"Oncology",
"ARV-110"
]
},
{
"id": "cyto_karyotype_phenotype_01",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 01: Premature Centromere Division (PCD) Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Premature Centromere Division (PCD).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Premature"
]
},
{
"id": "cyto_karyotype_phenotype_02",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 02: Chromosome Missegregation Rate Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Chromosome Missegregation Rate.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Chromosome"
]
},
{
"id": "cyto_karyotype_phenotype_03",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 03: Micronucleus Frequency Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Micronucleus Frequency.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Micronucleus"
]
},
{
"id": "cyto_karyotype_phenotype_04",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 04: Multipolar Spindle Frequency Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Multipolar Spindle Frequency.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Multipolar"
]
},
{
"id": "cyto_karyotype_phenotype_05",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 05: Sister Chromatid Exchange (SCE) Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Sister Chromatid Exchange (SCE).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Sister"
]
},
{
"id": "cyto_karyotype_phenotype_06",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 06: Tetraploid Endoreduplication Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Tetraploid Endoreduplication.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Tetraploid"
]
},
{
"id": "cyto_karyotype_phenotype_07",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 07: Acrocentric Satellite Association Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Acrocentric Satellite Association.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Acrocentric"
]
},
{
"id": "cyto_karyotype_phenotype_08",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 08: Sex Chromosome Variegation Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Sex Chromosome Variegation.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Sex"
]
},
{
"id": "cyto_karyotype_phenotype_09",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 09: Fragile Site Gaps (Aphidicolin) Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Fragile Site Gaps (Aphidicolin).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Fragile"
]
},
{
"id": "cyto_karyotype_phenotype_10",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 10: Centromeric Cohesion Loss Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Centromeric Cohesion Loss.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Centromeric"
]
},
{
"id": "cyto_karyotype_phenotype_11",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 11: Radial Nuclear Organization Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Radial Nuclear Organization.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Radial"
]
},
{
"id": "cyto_karyotype_phenotype_12",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 12: Mitotic Index (MI%) Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Mitotic Index (MI%).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Mitotic"
]
},
{
"id": "cyto_karyotype_phenotype_13",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 13: Telomere PNA-FISH Variance Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Telomere PNA-FISH Variance.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Telomere"
]
},
{
"id": "cyto_karyotype_phenotype_14",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 14: Alpha-Satellite Repeat Arrays Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Alpha-Satellite Repeat Arrays.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Alpha-Satellite"
]
},
{
"id": "cyto_karyotype_phenotype_15",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 15: TREX1 Ruptured Micronuclei Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for TREX1 Ruptured Micronuclei.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"TREX1"
]
},
{
"id": "cyto_karyotype_phenotype_16",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 16: Death-in-Mitosis vs Slippage Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Death-in-Mitosis vs Slippage.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Death-in-Mitosis"
]
},
{
"id": "cyto_karyotype_phenotype_17",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 17: Phylogenetic Karyotype Subtrees Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Phylogenetic Karyotype Subtrees.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Phylogenetic"
]
},
{
"id": "cyto_karyotype_phenotype_18",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 18: KIFC1 Clustering Capacity Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for KIFC1 Clustering Capacity.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"KIFC1"
]
},
{
"id": "cyto_karyotype_phenotype_19",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 19: Chromothripsis Reintegration Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Chromothripsis Reintegration.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Chromothripsis"
]
},
{
"id": "cyto_karyotype_phenotype_20",
"category": "Cytogenetics & Aneuploidy",
"title": "Cytogenetic Assay 20: Dicentric Bridge-Fusion Cycles Quantification",
"description": "Quantitative cytogenetic parameters, metaphase counts, and clinical correlations for Dicentric Bridge-Fusion Cycles.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Cytogenetics",
"Karyotype",
"Dicentric"
]
},
{
"id": "qc_telemetry_matrix_01",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 01: Lane L001 Microfluidics",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Lane L001 Microfluidics.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Lane"
]
},
{
"id": "qc_telemetry_matrix_02",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 02: Lane L002 Dual-Laser Optics",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Lane L002 Dual-Laser Optics.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Lane"
]
},
{
"id": "qc_telemetry_matrix_03",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 03: Lane L003 Thermal Peltier",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Lane L003 Thermal Peltier.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Lane"
]
},
{
"id": "qc_telemetry_matrix_04",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 04: Lane L004 TDI Sensor Imaging",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Lane L004 TDI Sensor Imaging.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Lane"
]
},
{
"id": "qc_telemetry_matrix_05",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 05: Forward Read 1 Quality",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Forward Read 1 Quality.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Forward"
]
},
{
"id": "qc_telemetry_matrix_06",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 06: Reverse Read 2 Phasing",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Reverse Read 2 Phasing.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Reverse"
]
},
{
"id": "qc_telemetry_matrix_07",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 07: TruSeq Adapter Trimming",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for TruSeq Adapter Trimming.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"TruSeq"
]
},
{
"id": "qc_telemetry_matrix_08",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 08: Library Duplication Rate",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Library Duplication Rate.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Library"
]
},
{
"id": "qc_telemetry_matrix_09",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 09: Insert Size Distribution",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Insert Size Distribution.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Insert"
]
},
{
"id": "qc_telemetry_matrix_10",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 10: BWA-MEM GRCh38 Alignment",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for BWA-MEM GRCh38 Alignment.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"BWA-MEM"
]
},
{
"id": "qc_telemetry_matrix_11",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 11: GATK BQSR Recalibration",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for GATK BQSR Recalibration.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"GATK"
]
},
{
"id": "qc_telemetry_matrix_12",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 12: Exonic Coverage Uniformity",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Exonic Coverage Uniformity.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Exonic"
]
},
{
"id": "qc_telemetry_matrix_13",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 13: GC Bias Coverage Curve",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for GC Bias Coverage Curve.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"GC"
]
},
{
"id": "qc_telemetry_matrix_14",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 14: Mismatch Noise Floor",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Mismatch Noise Floor.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Mismatch"
]
},
{
"id": "qc_telemetry_matrix_15",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 15: Indel Size Distribution",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Indel Size Distribution.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Indel"
]
},
{
"id": "qc_telemetry_matrix_16",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 16: Ti/Tv Mutation Ratio",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Ti/Tv Mutation Ratio.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Ti/Tv"
]
},
{
"id": "qc_telemetry_matrix_17",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 17: dbSNP 156 Concordance",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for dbSNP 156 Concordance.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"dbSNP"
]
},
{
"id": "qc_telemetry_matrix_18",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 18: Chimeric Split-Reads",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Chimeric Split-Reads.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Chimeric"
]
},
{
"id": "qc_telemetry_matrix_19",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 19: Soft-Clipped Read Clusters",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Soft-Clipped Read Clusters.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Soft-Clipped"
]
},
{
"id": "qc_telemetry_matrix_20",
"category": "Sequencing & Flowcell QC",
"title": "Flowcell Telemetry 20: Flowcell Master COA",
"description": "Detailed sequencing quality metrics, physical telemetry, and compliance benchmarks for Flowcell Master COA.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Sequencing QC",
"NovaSeq",
"Flowcell"
]
},
{
"id": "bio_kinetics_matrix_01",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 01: TRIP13 AAA+ Hexamer Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for TRIP13 AAA+ Hexamer.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"TRIP13"
]
},
{
"id": "bio_kinetics_matrix_02",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 02: CENPE Kinesin-7 Motor Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for CENPE Kinesin-7 Motor.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"CENPE"
]
},
{
"id": "bio_kinetics_matrix_03",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 03: MAD1-MAD2 Dimerization Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for MAD1-MAD2 Dimerization.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"MAD1-MAD2"
]
},
{
"id": "bio_kinetics_matrix_04",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 04: Aurora A - TPX2 Complex Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for Aurora A - TPX2 Complex.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"Aurora"
]
},
{
"id": "bio_kinetics_matrix_05",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 05: PLK1 Polo-Box Domain Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for PLK1 Polo-Box Domain.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"PLK1"
]
},
{
"id": "bio_kinetics_matrix_06",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 06: BUBR1-CDC20 Complex Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for BUBR1-CDC20 Complex.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"BUBR1-CDC20"
]
},
{
"id": "bio_kinetics_matrix_07",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 07: KNL1 Multi-MELT Array Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for KNL1 Multi-MELT Array.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"KNL1"
]
},
{
"id": "bio_kinetics_matrix_08",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 08: Ndc80 Complex Tail Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for Ndc80 Complex Tail.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"Ndc80"
]
},
{
"id": "bio_kinetics_matrix_09",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 09: Spindle Microtubules Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for Spindle Microtubules.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"Spindle"
]
},
{
"id": "bio_kinetics_matrix_10",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 10: Separase Protease Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for Separase Protease.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"Separase"
]
},
{
"id": "bio_kinetics_matrix_11",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 11: Centrosomal PCM (CEP192) Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for Centrosomal PCM (CEP192).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"Centrosomal"
]
},
{
"id": "bio_kinetics_matrix_12",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 12: Chromatin Elastic Fiber Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for Chromatin Elastic Fiber.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"Chromatin"
]
},
{
"id": "bio_kinetics_matrix_13",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 13: Centriolar Transition Zone Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for Centriolar Transition Zone.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"Centriolar"
]
},
{
"id": "bio_kinetics_matrix_14",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 14: cGAS Micronuclear Condensation Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for cGAS Micronuclear Condensation.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"cGAS"
]
},
{
"id": "bio_kinetics_matrix_15",
"category": "Biophysical Kinetics",
"title": "Biophysical Parameter 15: Cellular ATP Consumption Mechanics",
"description": "Nanomechanical measurements, thermodynamic free energies, and cellular kinetics for Cellular ATP Consumption.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Biophysics",
"Kinetics",
"Cellular"
]
},
{
"id": "coh_registry_crossmatch_01",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 01: St. Jude Children's Research Hospital",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from St. Jude Children's Research Hospital.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"St."
]
},
{
"id": "coh_registry_crossmatch_02",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 02: NCI TARGET Pan-Cancer Project",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from NCI TARGET Pan-Cancer Project.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"NCI"
]
},
{
"id": "coh_registry_crossmatch_03",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 03: International MVA Syndrome Registry",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from International MVA Syndrome Registry.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"International"
]
},
{
"id": "coh_registry_crossmatch_04",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 04: TCGA Soft Tissue Sarcoma Cohort",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from TCGA Soft Tissue Sarcoma Cohort.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"TCGA"
]
},
{
"id": "coh_registry_crossmatch_05",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 05: ICGC Pediatric Brain Tumor Consortium",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from ICGC Pediatric Brain Tumor Consortium.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"ICGC"
]
},
{
"id": "coh_registry_crossmatch_06",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 06: Children's Oncology Group (COG) ARST",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from Children's Oncology Group (COG) ARST.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"Children's"
]
},
{
"id": "coh_registry_crossmatch_07",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 07: DECIPHER Rare Disease Database",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from DECIPHER Rare Disease Database.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"DECIPHER"
]
},
{
"id": "coh_registry_crossmatch_08",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 08: Genomics England 100,000 Genomes",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from Genomics England 100,000 Genomes.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"Genomics"
]
},
{
"id": "coh_registry_crossmatch_09",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 09: DepMap Cancer Dependency Map (PRISM)",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from DepMap Cancer Dependency Map (PRISM).",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"DepMap"
]
},
{
"id": "coh_registry_crossmatch_10",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 10: DepMap CRISPR Essentiality Screens",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from DepMap CRISPR Essentiality Screens.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"DepMap"
]
},
{
"id": "coh_registry_crossmatch_11",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 11: COSMIC Cell Lines Project",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from COSMIC Cell Lines Project.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"COSMIC"
]
},
{
"id": "coh_registry_crossmatch_12",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 12: CIViC Clinical Interpretations",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from CIViC Clinical Interpretations.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"CIViC"
]
},
{
"id": "coh_registry_crossmatch_13",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 13: OncoKB Precision Oncology",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from OncoKB Precision Oncology.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"OncoKB"
]
},
{
"id": "coh_registry_crossmatch_14",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 14: RDCA-DAP Rare Disease Cures",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from RDCA-DAP Rare Disease Cures.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"RDCA-DAP"
]
},
{
"id": "coh_registry_crossmatch_15",
"category": "Comparative Oncology Cohorts",
"title": "Cohort Cross-Match 15: AACR Project GENIE Registry",
"description": "Comparative genomic frequencies, survival statistics, and precision oncology insights from AACR Project GENIE Registry.",
"row_count": 4,
"columns_count": 6,
"tags": [
"Comparative Oncology",
"Cohorts",
"AACR"
]
}
]
}