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TOmicsVis: An all‐in‐one transcriptomic analysis and visualization R package with Shinyapp interface

TOmicsVis: An all‐in‐one transcriptomic analysis and visualization R package with Shinyapp interface

Authors :
Ben‐Ben Miao
Wei Dong
Zhao‐Fang Han
Xuan Luo
Cai‐Huan Ke
Wei‐Wei You
Source :
iMeta, Vol 2, Iss 4, Pp n/a-n/a (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract Transcriptomic analysis has been widely used in comparative experiments to uncover biological mechanisms in various species. However, a simple tool is still lacking to optimize and integrate the features from multiple R packages. In this study, we developed TOmicsVis (Transcriptomics Visualization) (CRAN: https://cran.r-project.org/package=TOmicsVis, v2.0.0), an R package that provides a comprehensive solution for transcriptomics analysis and visualization. It utilizes 46 R packages to design 40 suitable functions for the streamlined analysis of multigroup transcriptomic projects, which covers six main categories: Sample Statistics, Traits Analysis, Differential Expression, Advanced Analysis, GO and KEGG Enrichment, and Table Operation. TOmicsVis can be performed either locally or online (https://shiny.hiplot.cn/tomicsvis-shiny/), which provides significant convenience for researchers without coding training. These user‐friendly visualization functions and built‐in analysis capabilities enable researchers to monitor experimental data dynamics promptly and explore transcriptomics data quickly.

Details

Language :
English
ISSN :
2770596X
Volume :
2
Issue :
4
Database :
Directory of Open Access Journals
Journal :
iMeta
Publication Type :
Academic Journal
Accession number :
edsdoj.89019cafbc364d78b32c1c54ee83a662
Document Type :
article
Full Text :
https://doi.org/10.1002/imt2.137