Nov 1, 2018

GenPipes: an open-source framework for distributed and scalable genomic analyses

BioRxiv : the Preprint Server for Biology
Mathieu BourgeyGuillaume Bourque

Abstract

With the decreasing cost of sequencing and the rapid developments in genomics technologies and protocols, the need for validated bioinformatics software that enables efficient large-scale data processing is growing. Here we present GenPipes, a flexible Python-based framework that facilitates the development and deployment of multi-step workflows optimized for High Performance Computing clusters and the cloud. GenPipes already implements 12 validated and scalable pipelines for various genomics applications, including RNA-Seq, ChIP-Seq, DNA-Seq, Methyl-Seq, Hi-C, capture Hi-C, metagenomics and PacBio long read assembly. The software is available under a GPLv3 open source license and is continuously updated to follow recent advances in genomics and bioinformatics. The framework has been already configured on several servers and a docker image is also available to facilitate additional installations. In summary, GenPipes offers genomic researchers a simple method to analyze different types of data, customizable to their needs and resources, as well as the flexibility to create their own workflows.

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Mentioned in this Paper

Computer Software
Genome
Research Personnel
Nucleic Acid Sequencing
Bio-Informatics
Genomics
Sequencing
His-His-His-His-His-His
Analysis
Gene Clusters

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