tadar

R package for Transcriptome Analysis of Differential Allelic Representation

https://github.com/baerlachlan/tadar

Science Score: 46.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: biorxiv.org
  • Committers with academic emails
    2 of 5 committers (40.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.4%) to scientific vocabulary

Keywords from Contributors

genomics bioconductor-package gene
Last synced: 7 months ago · JSON representation

Repository

R package for Transcriptome Analysis of Differential Allelic Representation

Basic Info
  • Host: GitHub
  • Owner: baerlachlan
  • License: gpl-3.0
  • Language: R
  • Default Branch: devel
  • Homepage:
  • Size: 1.52 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created about 3 years ago · Last pushed 10 months ago
Metadata Files
Readme License

README.md

tadar

check-bioc Codecov test coverage Repo Status <!-- badges: end -->

tadar is a package designed to enable Transcriptome Analysis of Differential Allelic Representation (DAR).

DAR is parsimoniously defined as an unequal distribution of polymorphic loci between experimental sample groups; a situation likely to be encountered in RNA-seq experiments involving organisms that lack isogenicity. When unequally-represented polymorphic loci are also expression quantitative trait loci (eQTLs), differences in gene expression between groups can be incorrectly interpreted as a consequence of the experimental condition. DAR analysis is therefore recommended as a complementary technique alongside Differential Expression analysis. DAR analysis results in an easy-to-interpret value between 0 and 1 for each feature (e.g. gene) of interest, where 0 represents identical allelic representation and 1 represents complete diversity. This metric can be used to identify features prone to false-positive calls in Differential Expression analysis, and can be leveraged with statistical methods to alleviate the impact of such artefacts on RNA-seq data.

An example of the application of DAR analysis can be found in our manuscript.

Installation

BiocManager is recommended for the installation of this package.

r install.packages("BiocManager") BiocManager::install("tadar")

The development version of this package can also be installed from GitHub.

r BiocManager::install("baerlachlan/tadar")

Owner

  • Name: Lachlan Baer
  • Login: baerlachlan
  • Kind: user
  • Location: Adelaide, South Australia
  • Company: University of Adelaide

GitHub Events

Total
  • Issues event: 1
  • Issue comment event: 2
  • Push event: 7
  • Pull request event: 1
  • Create event: 3
Last Year
  • Issues event: 1
  • Issue comment event: 2
  • Push event: 7
  • Pull request event: 1
  • Create event: 3

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 63
  • Total Committers: 5
  • Avg Commits per committer: 12.6
  • Development Distribution Score (DDS): 0.143
Past Year
  • Commits: 11
  • Committers: 3
  • Avg Commits per committer: 3.667
  • Development Distribution Score (DDS): 0.364
Top Committers
Name Email Commits
Lachlan Baer b****n@g****m 54
J Wokaty j****y@s****u 4
A Wokaty a****y@s****u 2
J Wokaty j****y@u****m 2
Stevie Ped s****u@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 0
  • Total pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: about 20 hours
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 2.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • jonocarroll (1)
Pull Request Authors
  • smped (3)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • bioconductor 4,519 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
bioconductor.org: tadar

Transcriptome Analysis of Differential Allelic Representation

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 4,519 Total
Rankings
Dependent repos count: 0.0%
Forks count: 22.4%
Dependent packages count: 31.7%
Stargazers count: 36.9%
Average: 37.8%
Downloads: 98.1%
Maintainers (1)
Last synced: 8 months ago

Dependencies

.github/workflows/check-bioc.yml actions
  • JamesIves/github-pages-deploy-action releases/v4 composite
  • actions/cache v3 composite
  • actions/checkout v3 composite
  • actions/upload-artifact master composite
  • docker/build-push-action v4 composite
  • docker/login-action v2 composite
  • docker/setup-buildx-action v2 composite
  • docker/setup-qemu-action v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
.github/workflows/test-coverage.yaml actions
  • actions/checkout v3 composite
  • actions/upload-artifact v3 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION cran
  • GenomicRanges * depends
  • MatrixGenerics * imports
  • S4Vectors * imports
  • VariantAnnotation * imports
  • covr * suggests
  • knitr * suggests
  • methods * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests