by PoisonAlien

PoisonAlien / maftools

Summarize, Analyze and Visualize MAF files from TCGA or in house studies.

224 Stars 145 Forks Last release: over 4 years ago (v0.9.30) MIT License 620 Commits 2 Releases

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maftools - An R package to summarize, analyze and visualize MAF files

bioc bioc bioc GitHub closed issues Lifecycle: stable Lines Of Code


provides a comprehensive set of functions for processing MAF files and to perform most commonly used analyses in cancer genomics. See here for a detailed usage and a case study.


#Install from Bioconductor repository

#Install from GitHub repository BiocManager::install("PoisonAlien/maftools")

Getting started: Vignette and a case study

A complete documentation of maftools using TCGA LAML as a case study can be found here.


Mayakonda A, Lin DC, Assenov Y, Plass C, Koeffler HP. 2018. Maftools: efficient and comprehensive analysis of somatic variants in cancer. Genome Research. PMID: 30341162

Useful links

| File formats | Data Portals | Annotation tools | |:------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------:| | Mutation Annotation Format | TCGA | vcf2maf - for converting your VCF files to MAF | | Variant Call Format | ICGC | Ensembl Variant Effect Predictor VEP | | ICGC Simple Somatic Mutation Format | Broad Firehose | Annovar | | | cBioPortal | Funcotator | | | CIViC - Clinical interpretation of variants in cancer | | | | DGIdb - Information on drug-gene interactions and the druggable genome | |

Similar packages/tools

Below are some more useful software packages for somatic variant analysis (not necessarily similar to maftools)

  • TRONCO - Repository of the TRanslational ONCOlogy library (R)
  • dndscv - dN/dS methods to quantify selection in cancer and somatic evolution (R)
  • cloneevol - Inferring and visualizing clonal evolution in multi-sample cancer sequencing (R)
  • sigminer - Primarily for signature analysis and visualization in R. Supports
    output (R)
  • GenVisR - Primarily for visualization (R)
  • comut - Primarily for visualization (Python)
  • TCGAmutations - pre-compiled curated somatic mutations from TCGA cohorts (from Broad Firehose and TCGA MC3 Project) that can be loaded into

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