Skip to content

MesKit

Bioc current

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

v1.22.0 · software · GPL-3

Release Lineage

Entered 3.12 · Oct 28, 2020

Current · Requires R 4.6

1.0 In 12 of 49 releases 3.23

Description

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.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

55 24 exported

Complexity

10.3 avg / 43 max

Call network

55 nodes / 57 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

10,764

Files

116

Compiled share

0%

Has compiled src

No

Language breakdown

R 8,396 (78%)Docs 1,807 (16.8%)Vignettes 561 (5.2%)

API

Exported functions

24

Internal functions

31

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

3

Dep constraint coverage

13.6%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.0.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

12

First release

2021-03-27

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.12: 10,767 LOCv3.13: 10,764 LOCv3.14: 10,764 LOCv3.15: 10,764 LOCv3.16: 10,764 LOCv3.17: 10,764 LOCv3.18: 10,764 LOCv3.19: 10,764 LOCv3.20: 10,764 LOCv3.21: 10,764 LOCv3.22: 10,764 LOCv3.23: 10,764 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 262 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
97%
Documented parameters
100%
Return-value docs
100%
References docs
14%

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MesKit")
Liu, M., Chen, J., & Wang, X. (2026). MesKit: A tool kit for dissecting cancer evolution from multi-region derived tumor biopsies via somatic alterations (Version 1.22.0) [Computer software]. https://bioconductor.org/packages/MesKit

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MesKit version 1.22.0 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy