maftools
maftools provides analysis, summarization, and visualization of Mutation Annotation Format (MAF) files to enable exploration of somatic and germline variant landscapes in cancer genomics studies.
Key Features:
- MAF file support: Processes Mutation Annotation Format (MAF) files containing somatic and germline variant calls and associated annotations.
- Function suite for cancer genomics: Offers an extensive set of functions for common cancer genomics tasks, including processing and summarization of cohort-level variant data.
- Fast data manipulation: Integrates the data.table R package for efficient handling and summarization of large MAF datasets.
- Publication-quality visualization: Uses ggplot2 to generate customizable, high-quality visualizations of variant data.
- S4-based data representation: Represents genomic data using R's S4 classes for structured, object-oriented data handling.
Scientific Applications:
- Large-scale cancer sequencing analysis: Characterizes variants across large cohorts from sequencing studies using MAF-formatted data.
- Cohort-level variant landscape exploration: Enables exploration and summarization of somatic and germline variant distributions across samples.
- Biomarker and therapeutic target identification: Supports identification of potential biomarkers and therapeutic targets through cohort variant analyses and visualizations.
Methodology:
Implements R-based data processing using data.table for fast MAF manipulation, ggplot2 for visualization, and S4 classes for data representation.
Topics
Collections
Details
- License:
- MIT
- Tool Type:
- command-line tool, library
- Operating Systems:
- Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Mayakonda A, Koeffler HP. Maftools: Efficient analysis, visualization and summarization of MAF files from large-scale cohort based cancer studies. Unknown Journal. 2016. doi:10.1101/052662.
DOI: 10.1101/052662