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Summarize, Analyze and Visualize MAF Files

Bioconductor version: Release (3.19)

Analyze and visualize Mutation Annotation Format (MAF) files from large scale sequencing studies. This package provides various functions to perform most commonly used analyses in cancer genomics and to create feature rich customizable visualzations with minimal effort.

Author: Anand Mayakonda [aut, cre]

Maintainer: Anand Mayakonda <anand_mt at>

Citation (from within R, enter citation("maftools")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

01: Summarize, Analyze, and Visualize MAF Files HTML R Script
02: Customizing oncoplots HTML R Script
03: Cancer report HTML R Script
04: Copy number analysis HTML R Script
Reference Manual PDF


biocViews Classification, DNASeq, DataRepresentation, DriverMutation, FeatureExtraction, FunctionalGenomics, Sequencing, Software, SomaticMutation, Survival, VariantAnnotation, Visualization
Version 2.20.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License MIT + file LICENSE
Depends R (>= 3.3)
Imports data.table, grDevices, methods, RColorBrewer, Rhtslib, survival, DNAcopy
System Requirements GNU make
Bug Reports
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Suggests berryFunctions, Biostrings, BSgenome, BSgenome.Hsapiens.UCSC.hg19, GenomicRanges, IRanges, knitr, mclust, MultiAssayExperiment, NMF, R.utils, RaggedExperiment, rmarkdown, S4Vectors, pheatmap, curl
Linking To Rhtslib, zlibbioc
Depends On Me GNOSIS
Imports Me CaMutQC, CIMICE, katdetectr, musicatk, TCGAWorkflow, aplotExtra, pathwayTMB, PMAPscore, ProgModule, Rediscover, sigminer, SMDIC, ssMutPA
Suggests Me GenomicDataCommons, MultiAssayExperiment, survtype, TCGAbiolinks, oncoPredict
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package maftools_2.20.0.tar.gz
Windows Binary
macOS Binary (x86_64) maftools_2.20.0.tgz
macOS Binary (arm64) maftools_2.20.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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