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MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies

The number of RNA-Seq studies has grown in recent years. The design of RNA-Seq studies varies from very simple (e.g., two-condition case-control) to very complicated (e.g., time series involving multiple samples at each time point with separate drug treatments). Most of these publically available RN...

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Autores principales: Kumar, Pankaj, Halama, Anna, Hayat, Shahina, Billing, Anja M., Gupta, Manish, Yousri, Noha A., Smith, Gregory M., Suhre, Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561952/
https://www.ncbi.nlm.nih.gov/pubmed/26380270
http://dx.doi.org/10.1155/2015/318064
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author Kumar, Pankaj
Halama, Anna
Hayat, Shahina
Billing, Anja M.
Gupta, Manish
Yousri, Noha A.
Smith, Gregory M.
Suhre, Karsten
author_facet Kumar, Pankaj
Halama, Anna
Hayat, Shahina
Billing, Anja M.
Gupta, Manish
Yousri, Noha A.
Smith, Gregory M.
Suhre, Karsten
author_sort Kumar, Pankaj
collection PubMed
description The number of RNA-Seq studies has grown in recent years. The design of RNA-Seq studies varies from very simple (e.g., two-condition case-control) to very complicated (e.g., time series involving multiple samples at each time point with separate drug treatments). Most of these publically available RNA-Seq studies are deposited in NCBI databases, but their metadata are scattered throughout four different databases: Sequence Read Archive (SRA), Biosample, Bioprojects, and Gene Expression Omnibus (GEO). Although the NCBI web interface is able to provide all of the metadata information, it often requires significant effort to retrieve study- or project-level information by traversing through multiple hyperlinks and going to another page. Moreover, project- and study-level metadata lack manual or automatic curation by categories, such as disease type, time series, case-control, or replicate type, which are vital to comprehending any RNA-Seq study. Here we describe “MetaRNA-Seq,” a new tool for interactively browsing, searching, and annotating RNA-Seq metadata with the capability of semiautomatic curation at the study level.
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spelling pubmed-45619522015-09-15 MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies Kumar, Pankaj Halama, Anna Hayat, Shahina Billing, Anja M. Gupta, Manish Yousri, Noha A. Smith, Gregory M. Suhre, Karsten Biomed Res Int Research Article The number of RNA-Seq studies has grown in recent years. The design of RNA-Seq studies varies from very simple (e.g., two-condition case-control) to very complicated (e.g., time series involving multiple samples at each time point with separate drug treatments). Most of these publically available RNA-Seq studies are deposited in NCBI databases, but their metadata are scattered throughout four different databases: Sequence Read Archive (SRA), Biosample, Bioprojects, and Gene Expression Omnibus (GEO). Although the NCBI web interface is able to provide all of the metadata information, it often requires significant effort to retrieve study- or project-level information by traversing through multiple hyperlinks and going to another page. Moreover, project- and study-level metadata lack manual or automatic curation by categories, such as disease type, time series, case-control, or replicate type, which are vital to comprehending any RNA-Seq study. Here we describe “MetaRNA-Seq,” a new tool for interactively browsing, searching, and annotating RNA-Seq metadata with the capability of semiautomatic curation at the study level. Hindawi Publishing Corporation 2015 2015-08-25 /pmc/articles/PMC4561952/ /pubmed/26380270 http://dx.doi.org/10.1155/2015/318064 Text en Copyright © 2015 Pankaj Kumar et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kumar, Pankaj
Halama, Anna
Hayat, Shahina
Billing, Anja M.
Gupta, Manish
Yousri, Noha A.
Smith, Gregory M.
Suhre, Karsten
MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies
title MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies
title_full MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies
title_fullStr MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies
title_full_unstemmed MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies
title_short MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies
title_sort metarna-seq: an interactive tool to browse and annotate metadata from rna-seq studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561952/
https://www.ncbi.nlm.nih.gov/pubmed/26380270
http://dx.doi.org/10.1155/2015/318064
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