MesKit
This is thereleased version of MesKit; for the devel version, seeMesKit.
A tool kit for dissecting cancer evolution from multi-region derived tumor biopsies via somatic alterations
Bioconductor version: Release (3.22)
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.
Author: Mengni Liu [aut, cre]
ORCID: 0000-0001-9938-9973, Jianyu Chen [aut, ctb] ORCID: 0000-0003-4491-9265, Xin Wang [aut, ctb] ORCID: 0000-0002-6072-599X
Maintainer: Mengni Liu <niinleslie at gmail.com>
citation("MesKit")):Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("MesKit")For older versions of R, please refer to the appropriateBioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MesKit")| Analyze and Visualize Multi-region Whole-exome Sequencing Data | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | Software |
| Version | 1.20.0 |
| In Bioconductor since | BioC 3.12 (R-4.0) (5 years) |
| License | GPL-3 |
| 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 |
| System Requirements | |
| URL |
See More
| Suggests | shiny,knitr,rmarkdown,BSgenome.Hsapiens.UCSC.hg19(>= 1.4.0),org.Hs.eg.db,clusterProfiler,TxDb.Hsapiens.UCSC.hg19.knownGene |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | CaMutQC |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
FollowInstallation instructions to use this package in your R session.
| Source Package | MesKit_1.20.0.tar.gz |
| Windows Binary (x86_64) | MesKit_1.20.0.zip |
| macOS Binary (x86_64) | MesKit_1.20.0.tgz |
| macOS Binary (arm64) | MesKit_1.20.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/MesKit |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MesKit |
| Bioc Package Browser | https://code.bioconductor.org/browse/MesKit/ |
| Package Short Url | https://bioconductor.org/packages/MesKit/ |
| Package Downloads Report | Download Stats |