DOI: 10.18129/B9.bioc.MesKit    

A tool kit for dissecting cancer evolution from multi-region derived tumor biopsies via somatic alterations

Bioconductor version: Release (3.12)

MesKit provides commonly used analysis and visualization modules based on mutational data generated by multi-region sequencing (MRS). This package allows to decipher ITH, infer metastatic routes as well as uncover the underlying process of mutagenesis. Shiny application was also developed for a need of GUI-based analysis. As a handy tool, MesKit can facilitate the understanding of cancer cell evolution and its relevance to cancer therapeutics.

Author: Mengni Liu [aut, cre] , Jianyu Chen [aut, ctb] , Xin Wang [aut, ctb]

Maintainer: Mengni Liu <niinleslie at>

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HTML R Script Analyze and Visualize Multi-region Whole-exome Sequencing Data
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biocViews Classification, DataRepresentation, GUI, GeneticVariability, Genetics, Sequencing, Software, SomaticMutation, VariantAnnotation, Visualization
Version 1.0.0
In Bioconductor since BioC 3.12 (R-4.0) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.0.0)
Imports methods, data.table, Biostrings, dplyr, tidyr (>= 1.0.0), ape, ggrepel, pracma, ggridges, circlize, cowplot, mclust, phangorn, ComplexHeatmap(>= 1.9.3), ggplot2, RColorBrewer, grDevices, stats, utils, S4Vectors
Suggests shiny, knitr, rmarkdown, BSgenome.Hsapiens.UCSC.hg19(>= 1.4.0),, clusterProfiler
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