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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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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. |
format | Online Article Text |
id | pubmed-5925770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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