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MuGVRE. A virtual research environment for 3D/4D genomics

Authors :
Satish Sati
Genís Bayarri
François Serra
Giacomo Cavalli
Javier Conejero
Marco Pasi
Charles A. Laughton
Laia Codó
McDowall
Diana Buitrago
Dmitry Repchevsky
Juan Fernández-Recio
Marti-Renom M
David Castillo
Josep Ll. Gelpi
Mike N. Goodstadt
Reham F
Isabelle Brun-Heath
Rosa M. Badia
Andrew D. Yates
Meletiou A
Javier Álvarez Cid-Fuentes
Ricard Illa
Jürgen Walther
Alcantara Ja
Modesto Orozco
Romina Royo
Brian Jiménez-García
Publication Year :
2019
Publisher :
Cold Spring Harbor Laboratory, 2019.

Abstract

Multiscale Genomics (MuG) Virtual Research Environment (MuGVRE) is a cloud-based computational infrastructure created to support the deployment of software tools addressing the various levels of analysis in 3D/4D genomics. Integrated tools tackle needs ranging from high computationally demanding applications (e.g. molecular dynamics simulations) to high-throughput data analysis applications (like the processing of next generation sequencing). The MuG Infrastructure is based on openNebula cloud systems implemented at the Institute for research in Biomedicine, and the Barcelona Supercomputing Center, and has specific interfaces for users and developers. Interoperability of the tools included in MuGVRE is maintained through a rich set of metadata allowing the system to associate tools and data in a transparent manner. Execution scheduling is based in a traditional queueing system to handle demand peaks in applications of fixed needs, and an elastic and multi-scale programming model (pyCOMPSs, controlled by the PMES scheduler), for complex workflows requiring distributed or multi-scale executions schemes. MuGVRE is available athttps://vre.multiscalegenomics.euand documentation and general information athttps://www.multiscalegenomics.eu. The infrastructure is open and freely accessible.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....a291203201ad9d7509086e3cd73fcc3f
Full Text :
https://doi.org/10.1101/602474