myTAI: evolutionary transcriptomics with R.
Publication Date
2018-05-01Journal Title
Bioinformatics
ISSN
1367-4803
Publisher
Oxford University Press (OUP)
Volume
34
Issue
9
Pages
1589-1590
Language
eng
Type
Article
This Version
VoR
Physical Medium
Print
Metadata
Show full item recordCitation
Drost, H., Gabel, A., Liu, J., Quint, M., & Grosse, I. (2018). myTAI: evolutionary transcriptomics with R.. Bioinformatics, 34 (9), 1589-1590. https://doi.org/10.1093/bioinformatics/btx835
Abstract
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.
Keywords
Genomics, Software, Biological Evolution, Transcriptome
Sponsorship
European Research Council (322621)
Embargo Lift Date
2100-01-01
Identifiers
External DOI: https://doi.org/10.1093/bioinformatics/btx835
This record's URL: https://www.repository.cam.ac.uk/handle/1810/273628
Rights
Attribution-NonCommercial 4.0 International
Licence URL: http://creativecommons.org/licenses/by-nc/4.0/
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