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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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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 |
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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 |
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