Summary: 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.
Availability And Implementation: https://github.com/lasseignelab/CoSIA.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10749757 | PMC |
http://dx.doi.org/10.1093/bioinformatics/btad759 | DOI Listing |
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