Viewing RNA-seq data on the entire human genome

RNA-Seq Viewer is a web application that enables users to visualize genome-wide expression data from NCBI’s Sequence Read Archive (SRA) and Gene Expression Omnibus (GEO) databases. The application prototype was created by a small team during a three-day hackathon facilitated by NCBI at Brandeis Univ...

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Detalles Bibliográficos
Autores principales: Weitz, Eric M., Pantano, Lorena, Zhu, Jingzhi, Upton, Bennett, Busby, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2017
Materias:
Software Tool Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605993/
https://www.ncbi.nlm.nih.gov/pubmed/28979763
http://dx.doi.org/10.12688/f1000research.9762.1
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author Weitz, Eric M.
Pantano, Lorena
Zhu, Jingzhi
Upton, Bennett
Busby, Ben
author_facet Weitz, Eric M.
Pantano, Lorena
Zhu, Jingzhi
Upton, Bennett
Busby, Ben
author_sort Weitz, Eric M.
collection PubMed
description RNA-Seq Viewer is a web application that enables users to visualize genome-wide expression data from NCBI’s Sequence Read Archive (SRA) and Gene Expression Omnibus (GEO) databases. The application prototype was created by a small team during a three-day hackathon facilitated by NCBI at Brandeis University. The backend data pipeline was developed and deployed on a shared AWS EC2 instance. Source code is available at https://github.com/NCBI-Hackathons/rnaseqview.
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spelling pubmed-56059932017-10-03 Viewing RNA-seq data on the entire human genome Weitz, Eric M. Pantano, Lorena Zhu, Jingzhi Upton, Bennett Busby, Ben F1000Res Software Tool Article RNA-Seq Viewer is a web application that enables users to visualize genome-wide expression data from NCBI’s Sequence Read Archive (SRA) and Gene Expression Omnibus (GEO) databases. The application prototype was created by a small team during a three-day hackathon facilitated by NCBI at Brandeis University. The backend data pipeline was developed and deployed on a shared AWS EC2 instance. Source code is available at https://github.com/NCBI-Hackathons/rnaseqview. F1000Research 2017-04-28 /pmc/articles/PMC5605993/ /pubmed/28979763 http://dx.doi.org/10.12688/f1000research.9762.1 Text en Copyright: © 2017 Weitz EM et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions.
spellingShingle Software Tool Article
Weitz, Eric M.
Pantano, Lorena
Zhu, Jingzhi
Upton, Bennett
Busby, Ben
Viewing RNA-seq data on the entire human genome
title Viewing RNA-seq data on the entire human genome
title_full Viewing RNA-seq data on the entire human genome
title_fullStr Viewing RNA-seq data on the entire human genome
title_full_unstemmed Viewing RNA-seq data on the entire human genome
title_short Viewing RNA-seq data on the entire human genome
title_sort viewing rna-seq data on the entire human genome
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605993/
https://www.ncbi.nlm.nih.gov/pubmed/28979763
http://dx.doi.org/10.12688/f1000research.9762.1
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