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

Author:

Haldar Anisha1ORCID,Oza Vishal H1ORCID,DeVoss Nathaniel S1ORCID,Clark Amanda D1ORCID,Lasseigne Brittany N1ORCID

Affiliation:

1. The Department of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham , Birmingham, AL 35294, United States

Abstract

Abstract 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.

Funder

UAB

Mentored Experiences in Research, Instruction, and Teaching

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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