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Viewing RNA-seq data on the entire human genome [version 1; referees: 3 approved]

Authors :
Eric M. Weitz
Lorena Pantano
Jingzhi Zhu
Bennett Upton
Ben Busby
Author Affiliations :
<relatesTo>1</relatesTo>National Center for Biotechnology Information, U.S. National Library of Medicine, Bethesda, MD, 20894, USA<br /><relatesTo>2</relatesTo>Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA<br /><relatesTo>3</relatesTo>Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA<br /><relatesTo>4</relatesTo>LSU Shreveport Laboratory for Advanced Biomedical Informatics, Shreveport, LA, 71105, USA
Source :
F1000Research. 6:596
Publication Year :
2017
Publisher :
London, UK: F1000 Research Limited, 2017.

Abstract

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.

Details

ISSN :
20461402
Volume :
6
Database :
F1000Research
Journal :
F1000Research
Notes :
[version 1; referees: 3 approved]
Publication Type :
Academic Journal
Accession number :
edsfor.10.12688.f1000research.9762.1
Document Type :
software-tool
Full Text :
https://doi.org/10.12688/f1000research.9762.1