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The Lair: a resource for exploratory analysis of published RNA-Seq data
Increased emphasis on reproducibility of published research in the last few years has led to the large-scale archiving of sequencing data. While this data can, in theory, be used to reproduce results in papers, it is difficult to use in practice. We introduce a series of tools for processing and ana...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131447/ https://www.ncbi.nlm.nih.gov/pubmed/27905880 http://dx.doi.org/10.1186/s12859-016-1357-2 |
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author | Pimentel, Harold Sturmfels, Pascal Bray, Nicolas Melsted, Páll Pachter, Lior |
author_facet | Pimentel, Harold Sturmfels, Pascal Bray, Nicolas Melsted, Páll Pachter, Lior |
author_sort | Pimentel, Harold |
collection | PubMed |
description | Increased emphasis on reproducibility of published research in the last few years has led to the large-scale archiving of sequencing data. While this data can, in theory, be used to reproduce results in papers, it is difficult to use in practice. We introduce a series of tools for processing and analyzing RNA-Seq data in the Sequence Read Archive, that together have allowed us to build an easily extendable resource for analysis of data underlying published papers. Our system makes the exploration of data easily accessible and usable without technical expertise. Our database and associated tools can be accessed at The Lair: http://pachterlab.github.io/lair. |
format | Online Article Text |
id | pubmed-5131447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-51314472016-12-12 The Lair: a resource for exploratory analysis of published RNA-Seq data Pimentel, Harold Sturmfels, Pascal Bray, Nicolas Melsted, Páll Pachter, Lior BMC Bioinformatics Database Increased emphasis on reproducibility of published research in the last few years has led to the large-scale archiving of sequencing data. While this data can, in theory, be used to reproduce results in papers, it is difficult to use in practice. We introduce a series of tools for processing and analyzing RNA-Seq data in the Sequence Read Archive, that together have allowed us to build an easily extendable resource for analysis of data underlying published papers. Our system makes the exploration of data easily accessible and usable without technical expertise. Our database and associated tools can be accessed at The Lair: http://pachterlab.github.io/lair. BioMed Central 2016-12-01 /pmc/articles/PMC5131447/ /pubmed/27905880 http://dx.doi.org/10.1186/s12859-016-1357-2 Text en © The Author(s). 2016 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 | Database Pimentel, Harold Sturmfels, Pascal Bray, Nicolas Melsted, Páll Pachter, Lior The Lair: a resource for exploratory analysis of published RNA-Seq data |
title | The Lair: a resource for exploratory analysis of published RNA-Seq data |
title_full | The Lair: a resource for exploratory analysis of published RNA-Seq data |
title_fullStr | The Lair: a resource for exploratory analysis of published RNA-Seq data |
title_full_unstemmed | The Lair: a resource for exploratory analysis of published RNA-Seq data |
title_short | The Lair: a resource for exploratory analysis of published RNA-Seq data |
title_sort | lair: a resource for exploratory analysis of published rna-seq data |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131447/ https://www.ncbi.nlm.nih.gov/pubmed/27905880 http://dx.doi.org/10.1186/s12859-016-1357-2 |
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