CoSIA: an R Bioconductor package for CrOss Species Investigation and Analysis

被引：0
|
作者：
Haldar, Anisha [1 ]
Oza, Vishal H. [1 ]
DeVoss, Nathaniel S. [1 ]
Clark, Amanda D. [1 ]
Lasseigne, Brittany N. [1 ,2 ]
机构：
[1] Univ Alabama Birmingham, Heersink Sch Med, Dept Cell Dev & Integrat Biol, Birmingham, AL 35294 USA
[2] Univ Alabama Birmingham, Heersink Sch Med, Dept Cell Dev & Integrat Biol, 1900 Univ Blvd, Birmingham, AL 35294 USA
来源：
BIOINFORMATICS | 2023年 / 39卷 / 12期
关键词：
GENE-EXPRESSION; MICROARRAY DATA;
D O I：
10.1093/bioinformatics/btad759
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
High-throughput sequencing technologies have enabled cross-species comparative transcriptomic studies; however, there are numerous challenges for these studies due to biological and technical factors. We developed CoSIA (Cross-Species Investigation and Analysis), a Bioconductor R package and Shiny app that provides an alternative framework for cross-species transcriptomic comparison of non-diseased wild-type RNA sequencing gene expression data from Bgee across tissues and species (human, mouse, rat, zebrafish, fly, and nematode) through visualization of variability, diversity, and specificity metrics.
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页数：4
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