Cargando…

UTAP: User-friendly Transcriptome Analysis Pipeline

BACKGROUND: RNA-Seq technology is routinely used to characterize the transcriptome, and to detect gene expression differences among cell types, genotypes and conditions. Advances in short-read sequencing instruments such as Illumina Next-Seq have yielded easy-to-operate machines, with high throughpu...

Descripción completa

Detalles Bibliográficos
Autores principales: Kohen, Refael, Barlev, Jonathan, Hornung, Gil, Stelzer, Gil, Feldmesser, Ester, Kogan, Kiril, Safran, Marilyn, Leshkowitz, Dena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434621/
https://www.ncbi.nlm.nih.gov/pubmed/30909881
http://dx.doi.org/10.1186/s12859-019-2728-2
_version_ 1783406509049249792
author Kohen, Refael
Barlev, Jonathan
Hornung, Gil
Stelzer, Gil
Feldmesser, Ester
Kogan, Kiril
Safran, Marilyn
Leshkowitz, Dena
author_facet Kohen, Refael
Barlev, Jonathan
Hornung, Gil
Stelzer, Gil
Feldmesser, Ester
Kogan, Kiril
Safran, Marilyn
Leshkowitz, Dena
author_sort Kohen, Refael
collection PubMed
description BACKGROUND: RNA-Seq technology is routinely used to characterize the transcriptome, and to detect gene expression differences among cell types, genotypes and conditions. Advances in short-read sequencing instruments such as Illumina Next-Seq have yielded easy-to-operate machines, with high throughput, at a lower price per base. However, processing this data requires bioinformatics expertise to tailor and execute specific solutions for each type of library preparation. RESULTS: In order to enable fast and user-friendly data analysis, we developed an intuitive and scalable transcriptome pipeline that executes the full process, starting from cDNA sequences derived by RNA-Seq [Nat Rev Genet 10:57-63, 2009] and bulk MARS-Seq [Science 343:776-779, 2014] and ending with sets of differentially expressed genes. Output files are placed in structured folders, and results summaries are provided in rich and comprehensive reports, containing dozens of plots, tables and links. CONCLUSION: Our User-friendly Transcriptome Analysis Pipeline (UTAP) is an open source, web-based intuitive platform available to the biomedical research community, enabling researchers to efficiently and accurately analyse transcriptome sequence data.
format Online
Article
Text
id pubmed-6434621
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-64346212019-04-08 UTAP: User-friendly Transcriptome Analysis Pipeline Kohen, Refael Barlev, Jonathan Hornung, Gil Stelzer, Gil Feldmesser, Ester Kogan, Kiril Safran, Marilyn Leshkowitz, Dena BMC Bioinformatics Software BACKGROUND: RNA-Seq technology is routinely used to characterize the transcriptome, and to detect gene expression differences among cell types, genotypes and conditions. Advances in short-read sequencing instruments such as Illumina Next-Seq have yielded easy-to-operate machines, with high throughput, at a lower price per base. However, processing this data requires bioinformatics expertise to tailor and execute specific solutions for each type of library preparation. RESULTS: In order to enable fast and user-friendly data analysis, we developed an intuitive and scalable transcriptome pipeline that executes the full process, starting from cDNA sequences derived by RNA-Seq [Nat Rev Genet 10:57-63, 2009] and bulk MARS-Seq [Science 343:776-779, 2014] and ending with sets of differentially expressed genes. Output files are placed in structured folders, and results summaries are provided in rich and comprehensive reports, containing dozens of plots, tables and links. CONCLUSION: Our User-friendly Transcriptome Analysis Pipeline (UTAP) is an open source, web-based intuitive platform available to the biomedical research community, enabling researchers to efficiently and accurately analyse transcriptome sequence data. BioMed Central 2019-03-25 /pmc/articles/PMC6434621/ /pubmed/30909881 http://dx.doi.org/10.1186/s12859-019-2728-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Kohen, Refael
Barlev, Jonathan
Hornung, Gil
Stelzer, Gil
Feldmesser, Ester
Kogan, Kiril
Safran, Marilyn
Leshkowitz, Dena
UTAP: User-friendly Transcriptome Analysis Pipeline
title UTAP: User-friendly Transcriptome Analysis Pipeline
title_full UTAP: User-friendly Transcriptome Analysis Pipeline
title_fullStr UTAP: User-friendly Transcriptome Analysis Pipeline
title_full_unstemmed UTAP: User-friendly Transcriptome Analysis Pipeline
title_short UTAP: User-friendly Transcriptome Analysis Pipeline
title_sort utap: user-friendly transcriptome analysis pipeline
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434621/
https://www.ncbi.nlm.nih.gov/pubmed/30909881
http://dx.doi.org/10.1186/s12859-019-2728-2
work_keys_str_mv AT kohenrefael utapuserfriendlytranscriptomeanalysispipeline
AT barlevjonathan utapuserfriendlytranscriptomeanalysispipeline
AT hornunggil utapuserfriendlytranscriptomeanalysispipeline
AT stelzergil utapuserfriendlytranscriptomeanalysispipeline
AT feldmesserester utapuserfriendlytranscriptomeanalysispipeline
AT kogankiril utapuserfriendlytranscriptomeanalysispipeline
AT safranmarilyn utapuserfriendlytranscriptomeanalysispipeline
AT leshkowitzdena utapuserfriendlytranscriptomeanalysispipeline