myTAI: evolutionary transcriptomics with R.
basic_science · Level V
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- Record sourced from PubMed, PMID 29309527.
- Also identified by DOI 10.1093/bioinformatics/btx835 and PMC identifier 5925770.
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Abstract
Next Generation Sequencing (NGS) technologies generate a large amount of high quality transcriptome datasets enabling the investigation of molecular processes on a genomic and metagenomic scale. These transcriptomics studies aim to quantify and compare the molecular phenotypes of the biological processes at hand. Despite the vast increase of available transcriptome datasets, little is known about the evolutionary conservation of those characterized transcriptomes. The myTAI package implements exploratory analysis functions to infer transcriptome conservation patterns in any transcriptome dataset. Comprehensive documentation of myTAI functions and tutorial vignettes provide step-by-step instructions on how to use the package in an exploratory and computationally reproducible manner. The open source myTAI package is available at https://github.com/HajkD/myTAI and https://cran.r-project.org/web/packages/myTAI/index.html. hgd23@cam.ac.uk. Supplementary data are available at Bioinformatics online.
Medical subject headings
- Transcriptome