| Autor: |
Ben‐Ben Miao, Wei Dong, Zhao‐Fang Han, Xuan Luo, Cai‐Huan Ke, Wei‐Wei You |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
iMeta, Vol 2, Iss 4, Pp n/a-n/a (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2770-596X |
| DOI: |
10.1002/imt2.137 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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