FaME
FaME identifies mutual exclusivity and co-occurrence signals among genomic aberrations to enable discovery of synthetic lethal (SL) relationships and cancer-specific vulnerabilities.
Key Features:
- Efficient Computation: Implements an algorithm based on matrix multiplication and a logarithm-based implementation of Fisher's exact test to perform rapid genome-wide mutual exclusivity tests.
- Scalability: Processes hundreds of millions of aberration combinations in a few minutes to support exhaustive analyses across large datasets.
- Application to Diverse Data Types: Applied to allele-specific data from whole exome sequencing across 27 TCGA study cohorts, detecting mutual exclusivity among point mutations and allele-specific copy number signals that span contiguous cytobands.
- Integrated Analysis Capability: Enables combined analysis of public cell line loss of function screen data with patient transcriptomic profiles to identify interactions between tumor suppressor losses and druggable genes.
Scientific Applications:
- Exploration of Synthetic Lethality: Identifies mutually exclusive genomic aberrations to pinpoint synthetic lethal relationships for targeted cancer research.
- Genomic Aberration Analysis: Performs comprehensive genome-wide analyses across large cohorts and multiple classes of genomic aberrations.
- Research on Tumor Suppressors and Druggable Genes: Facilitates study of interactions between tumor suppressor gene losses and potential therapeutic targets to inform cancer biology and treatment strategies.
Methodology:
Performs mutual exclusivity testing using matrix multiplication combined with a logarithm-based implementation of Fisher's exact test.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- library, workflow
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 1/5/2022
- Last Updated:
- 1/5/2022
Operations
Data Inputs & Outputs
Copy number estimation
Inputs
Outputs
Publications
Fedrizzi T, Ciani Y, Lorenzin F, Cantore T, Gasperini P, Demichelis F. Fast mutual exclusivity algorithm nominates potential synthetic lethal gene pairs through brute force matrix product computations. Computational and Structural Biotechnology Journal. 2021;19:4394-4403. doi:10.1016/j.csbj.2021.08.001. PMID:34429855. PMCID:PMC8369001.
PMID: 34429855
PMCID: PMC8369001
Funding: - Prostate Cancer Foundation: 19YOUN16
- Horizon 2020 Framework Programme: 648670
- NCI: SPORE P50-CA211024