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myTAI: evolutionary transcriptomics with R

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 bio...

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Detalles Bibliográficos
Autores principales: Drost, Hajk-Georg, Gabel, Alexander, Liu, Jialin, Quint, Marcel, Grosse, Ivo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5925770/
https://www.ncbi.nlm.nih.gov/pubmed/29309527
http://dx.doi.org/10.1093/bioinformatics/btx835
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author Drost, Hajk-Georg
Gabel, Alexander
Liu, Jialin
Quint, Marcel
Grosse, Ivo
author_facet Drost, Hajk-Georg
Gabel, Alexander
Liu, Jialin
Quint, Marcel
Grosse, Ivo
author_sort Drost, Hajk-Georg
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-59257702018-05-04 myTAI: evolutionary transcriptomics with R Drost, Hajk-Georg Gabel, Alexander Liu, Jialin Quint, Marcel Grosse, Ivo Bioinformatics Applications Notes 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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-05-01 2017-12-22 /pmc/articles/PMC5925770/ /pubmed/29309527 http://dx.doi.org/10.1093/bioinformatics/btx835 Text en © The Author(s) 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Drost, Hajk-Georg
Gabel, Alexander
Liu, Jialin
Quint, Marcel
Grosse, Ivo
myTAI: evolutionary transcriptomics with R
title myTAI: evolutionary transcriptomics with R
title_full myTAI: evolutionary transcriptomics with R
title_fullStr myTAI: evolutionary transcriptomics with R
title_full_unstemmed myTAI: evolutionary transcriptomics with R
title_short myTAI: evolutionary transcriptomics with R
title_sort mytai: evolutionary transcriptomics with r
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5925770/
https://www.ncbi.nlm.nih.gov/pubmed/29309527
http://dx.doi.org/10.1093/bioinformatics/btx835
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