4.7 Article

myTAI: evolutionary transcriptomics with R

期刊

BIOINFORMATICS
卷 34, 期 9, 页码 1589-1590

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OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btx835

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资金

  1. ERC grant EVOBREED [322621]
  2. SKWP Research Foundation
  3. German Science Foundation [Qu 141/5-1, Qu 141/6-1, Qu 141/7-1, GR 3526/6-1, GR 3526/7-1, GR 3526/8-1, FZT 118]

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Motivation: 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. Results: 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 stepbystep instructions on how to use the package in an exploratory and computationally reproducible manner.

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