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InSilico DB genomic datasets hub: an efficient starting point for analyzing genome-wide studies in GenePattern, Integrative Genomics Viewer, and R/Bioconductor

Alain Coletta1*, Colin Molter1, Robin Duqué1, David Steenhoff3, Jonatan Taminau3, Virginie de Schaetzen3, Stijn Meganck3, Cosmin Lazar3, David Venet1, Vincent Detours2, Ann Nowé3, Hugues Bersini1 and David Y Weiss Solís1*

Author affiliations

1 Institut de Recherches Interdisciplinaires et de Developpements en Intelligence Artificielle, the Computer and Decision Engineering Department, Universite Libre de Bruxelles, 87 av. Adolphe Buyl, 1050 Bruxelles, Belgium

2 IRIBHM, School of Medicine, Campus Hospitalo-Facultaire Erasme, Universite Libre de Bruxelles, 808 route de Lennik, B1070 Bruxelles, Belgium

3 The Computational Modeling Lab (CoMo) Department of Computer Science Faculty of Sciences (WE) Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium

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Citation and License

Genome Biology 2012, 13:R104  doi:10.1186/gb-2012-13-11-r104

Published: 18 November 2012

Abstract

Genomics datasets are increasingly useful for gaining biomedical insights, with adoption in the clinic underway. However, multiple hurdles related to data management stand in the way of their efficient large-scale utilization. The solution proposed is a web-based data storage hub. Having clear focus, flexibility and adaptability, InSilico DB seamlessly connects genomics dataset repositories to state-of-the-art and free GUI and command-line data analysis tools. The InSilico DB platform is a powerful collaborative environment, with advanced capabilities for biocuration, dataset sharing, and dataset subsetting and combination. InSilico DB is available from https://insilicodb.org webcite.