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OSG-GEM: Gene Expression Matrix Construction Using the Open Science Grid

Overview
Publisher Sage Publications
Specialty Biology
Date 2016 Aug 9
PMID 27499617
Citations 2
Authors
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Abstract

High-throughput DNA sequencing technology has revolutionized the study of gene expression while introducing significant computational challenges for biologists. These computational challenges include access to sufficient computer hardware and functional data processing workflows. Both these challenges are addressed with our scalable, open-source Pegasus workflow for processing high-throughput DNA sequence datasets into a gene expression matrix (GEM) using computational resources available to U.S.-based researchers on the Open Science Grid (OSG). We describe the usage of the workflow (OSG-GEM), discuss workflow design, inspect performance data, and assess accuracy in mapping paired-end sequencing reads to a reference genome. A target OSG-GEM user is proficient with the Linux command line and possesses basic bioinformatics experience. The user may run this workflow directly on the OSG or adapt it to novel computing environments.

Citing Articles

Moving Just Enough Deep Sequencing Data to Get the Job Done.

Mills N, Bensman E, Poehlman W, Ligon 3rd W, Feltus F Bioinform Biol Insights. 2019; 13:1177932219856359.

PMID: 31236009 PMC: 6572328. DOI: 10.1177/1177932219856359.


OSG-GEM: Gene Expression Matrix Construction Using the Open Science Grid.

Poehlman W, Rynge M, Branton C, Balamurugan D, Feltus F Bioinform Biol Insights. 2016; 10:133-41.

PMID: 27499617 PMC: 4972127. DOI: 10.4137/BBI.S38193.

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