myTAI: evolutionary transcriptomics with R.

Bioinformatics

Institute of Computer Science, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany.

Published: May 2018

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 step-by-step instructions on how to use the package in an exploratory and computationally reproducible manner.

Availability And Implementation: The open source myTAI package is available at https://github.com/HajkD/myTAI and https://cran.r-project.org/web/packages/myTAI/index.html.

Contact: hgd23@cam.ac.uk.

Supplementary Information: Supplementary data are available at Bioinformatics online.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5925770PMC
http://dx.doi.org/10.1093/bioinformatics/btx835DOI Listing

Publication Analysis

Top Keywords

transcriptome datasets
8
mytai package
8
mytai
4
mytai evolutionary
4
evolutionary transcriptomics
4
transcriptomics motivation
4
motivation generation
4
generation sequencing
4
sequencing ngs
4
ngs technologies
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!