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MesKit

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

Bioconductor version: 3.24 · Package version: 1.23.0

MesKit provides commonly used analysis and visualization modules based on mutational data generated by multi-region sequencing (MRS). This package allows to depict mutational profiles, measure heterogeneity within or between tumors from the same patient, track evolutionary dynamics, as well as characterize mutational patterns on different levels. Shiny application was also developed for a need of GUI-based analysis. As a handy tool, MesKit can facilitate the interpretation of tumor heterogeneity and the understanding of evolutionary relationship between regions in MRS study.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MesKit")

Details

MaintainerMengni Liu <niinleslie@gmail.com>
AuthorMengni Liu [aut, cre] (ORCID: <https://orcid.org/0000-0001-9938-9973>), Jianyu Chen [aut, ctb] (ORCID: <https://orcid.org/0000-0003-4491-9265>), Xin Wang [aut, ctb] (ORCID: <https://orcid.org/0000-0002-6072-599X>)
LicenseGPL-3
Downloads rank556
Source branchdevel
biocViewsSoftware

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageMesKit_1.23.0.tar.gz
Windows binary (x86_64)MesKit_1.23.0.zip
macOS binary (arm64)MesKit_1.23.0.tgz
macOS binary (x86_64)MesKit_1.23.0.tgz
Dependencies

Depends: R (>= 4.0.0)

Imports: methods, data.table, Biostrings, dplyr, tidyr (>= 1.0.0), ape (>= 5.4.1), ggrepel, pracma, ggridges, AnnotationDbi, IRanges, 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), org.Hs.eg.db, clusterProfiler, TxDb.Hsapiens.UCSC.hg19.knownGene

Reverse dependencies

Imports Me (1): CaMutQC