myTAI: evolutionary transcriptomics with R.
Bioinformatics
; 34(9): 1589-1590, 2018 05 01.
Article
em En
| MEDLINE
| ID: mdl-29309527
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Transcriptoma
Idioma:
En
Revista:
Bioinformatics
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Reino Unido