MesKit
A tool kit for dissecting cancer evolution from multi-region derived tumor biopsies via somatic alterations
Bioconductor version: 3.23 · Package version: 1.22.0
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
| Maintainer | Mengni Liu <niinleslie@gmail.com> |
| Author | Mengni 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>) |
| License | GPL-3 |
| Downloads rank | 361 |
| Source branch | RELEASE_3_23 |
| biocViews | Software |
Documentation
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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