Facilitating pathway and network based analysis of RNA-Seq data with pathlinkR

R package pathlinkR is designed to aid transcriptomic analyses by streamlining and simplifying the process of analyzing and interpreting differentially expressed genes derived from human RNA-Seq data. It provides an integrated approach to performing pathway enrichment and network-based analyses, while also producing publication-quality figures to summarize these results, allowing users to more efficiently interpret their findings and extract biological meaning from large amounts of data. pathlinkR is available to install from the software repository Bioconductor at https://bioconductor.org/packages/pathlinkR/, with support available through the Bioconductor forums. The code, example, and supporting data is available on the GitHub repository at https://github.com/hancockinformatics/pathlinkR, under the GPL-3.0 license, where users may report problems or make suggestions using GitHub's issue system.

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Publication Details

Journal
PLoS Computational Biology
Published
2024-09-16
DOI
https://doi.org/10.1371/journal.pcbi.1012422
Citations
6
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
1.40

Funders

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article

Facilitating pathway and network based analysis of RNA-Seq data with pathlinkR

Travis M. Blimkie, Robert E. W. Hancock, Yi Andy An
6 citations
PLoS Computational Biology
RNA modifications and cancer
1.40
article

Facilitating pathway and network based analysis of RNA-Seq data with pathlinkR

Travis M. Blimkie, Robert E. W. Hancock, Yi Andy An
article en
6 citations

Abstract

R package pathlinkR is designed to aid transcriptomic analyses by streamlining and simplifying the process of analyzing and interpreting differentially expressed genes derived from human RNA-Seq data. It provides an integrated approach to performing pathway enrichment and network-based analyses, while also producing publication-quality figures to summarize these results, allowing users to more efficiently interpret their findings and extract biological meaning from large amounts of data. pathlinkR is available to install from the software repository Bioconductor at https://bioconductor.org/packages/pathlinkR/, with support available through the Bioconductor forums. The code, example, and supporting data is available on the GitHub repository at https://github.com/hancockinformatics/pathlinkR, under the GPL-3.0 license, where users may report problems or make suggestions using GitHub's issue system.

PLoS Computational BiologyVol. 20(9)
University of British Columbia (CA)
Killam Trusts, Canadian Institutes of Health Research
Openalex Percentile: Top 19%
RNA modifications and cancer
1.40
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Facilitating pathway and network based analysis of RNA-Seq data with pathlinkR — Travis M. Blimkie, Robert E. W. Hancock, et al. · PLoS Computational Biology (2024) | TGRS Research Map | TGRS