myTAI: evolutionary transcriptomics with R.

Détails

Ressource 1Télécharger: btx835.pdf (81.23 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_11FF54BB96E1
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
myTAI: evolutionary transcriptomics with R.
Périodique
Bioinformatics
Auteur(s)
Drost H.G., Gabel A., Liu J., Quint M., Grosse I.
ISSN
1367-4811 (Electronic)
ISSN-L
1367-4803
Statut éditorial
Publié
Date de publication
01/05/2018
Peer-reviewed
Oui
Volume
34
Numéro
9
Pages
1589-1590
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
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.
Mots-clé
Biological Evolution, Genomics, Software, Transcriptome
Pubmed
Web of science
Open Access
Oui
Création de la notice
12/04/2018 16:00
Dernière modification de la notice
20/08/2019 13:39
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