The Cancer Genome Atlas (TCGA) Multi-Omics Repository
Breast Cancer Dataset (TCGA)
Explore multi-dimensional clinical and genomic intelligence: Kaplan-Meier survival curves, somatic mutations, fraction genome altered (FGA), gene expression correlations, and real-time patient records.
Selected: 1,084 / 1,084 Patients•Somatic Mutations: 130,491 Analyzed•Genes: 5,914 Profiled
Selected Patients: 1,084 / 1,084 Total
Include Bangladesh Data
Mutation Count
Coding mutation frequencies per patient (≤10 to >130)
N = 0
X: Mutation Count RangeY: Patients
Fraction Genome Altered
Segmental CNA length ratio (|seg_mean| ≥ 0.2)
N = 0
X: Fraction Genome Altered RangeY: Patients
Mutation Count VS Fraction Genome Altered
Patient-level correlation between coding mutations and FGA
0
X: Fraction Genome AlteredY: Mutation Count
Structural Variants Count VS Sample Count
Gene-level distribution of structural variants vs distinct patient sample count across Hugo symbols
0
X: Sample CountY: Total Structural Variants