Title |
InSilico DB genomic datasets hub: an efficient starting point for analyzing genome-wide studies in GenePattern, Integrative Genomics Viewer, and R/Bioconductor
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Published in |
Genome Biology, November 2012
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DOI | 10.1186/gb-2012-13-11-r104 |
Pubmed ID | |
Authors |
Alain Coletta, Colin Molter, Robin Duqué, David Steenhoff, Jonatan Taminau, Virginie de Schaetzen, Stijn Meganck, Cosmin Lazar, David Venet, Vincent Detours, Ann Nowé, Hugues Bersini, David Y Weiss Solís |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 27% |
United Kingdom | 2 | 18% |
Belgium | 2 | 18% |
France | 1 | 9% |
Germany | 1 | 9% |
Unknown | 2 | 18% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 64% |
Members of the public | 3 | 27% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Japan | 2 | 1% |
Belgium | 2 | 1% |
Korea, Republic of | 1 | <1% |
Ireland | 1 | <1% |
Brazil | 1 | <1% |
Portugal | 1 | <1% |
Germany | 1 | <1% |
France | 1 | <1% |
Other | 2 | 1% |
Unknown | 123 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 49 | 36% |
Student > Ph. D. Student | 23 | 17% |
Student > Master | 14 | 10% |
Professor > Associate Professor | 11 | 8% |
Student > Bachelor | 8 | 6% |
Other | 19 | 14% |
Unknown | 14 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 64 | 46% |
Biochemistry, Genetics and Molecular Biology | 15 | 11% |
Computer Science | 14 | 10% |
Medicine and Dentistry | 10 | 7% |
Engineering | 4 | 3% |
Other | 8 | 6% |
Unknown | 23 | 17% |