Title |
TranscriptomeBrowser 3.0: introducing a new compendium of molecular interactions and a new visualization tool for the study of gene regulatory networks
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Published in |
BMC Bioinformatics, January 2012
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DOI | 10.1186/1471-2105-13-19 |
Pubmed ID | |
Authors |
Cyrille Lepoivre, Aurélie Bergon, Fabrice Lopez, Narayanan B Perumal, Catherine Nguyen, Jean Imbert, Denis Puthier |
Abstract |
Deciphering gene regulatory networks by in silico approaches is a crucial step in the study of the molecular perturbations that occur in diseases. The development of regulatory maps is a tedious process requiring the comprehensive integration of various evidences scattered over biological databases. Thus, the research community would greatly benefit from having a unified database storing known and predicted molecular interactions. Furthermore, given the intrinsic complexity of the data, the development of new tools offering integrated and meaningful visualizations of molecular interactions is necessary to help users drawing new hypotheses without being overwhelmed by the density of the subsequent graph. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 33% |
France | 1 | 17% |
United States | 1 | 17% |
Germany | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 3 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 5% |
Germany | 3 | 3% |
France | 1 | <1% |
Norway | 1 | <1% |
Malaysia | 1 | <1% |
Sweden | 1 | <1% |
Brazil | 1 | <1% |
Denmark | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 0 | 0% |
Unknown | 94 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 43 | 39% |
Student > Ph. D. Student | 19 | 17% |
Student > Master | 13 | 12% |
Professor | 7 | 6% |
Other | 6 | 6% |
Other | 15 | 14% |
Unknown | 6 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 58 | 53% |
Biochemistry, Genetics and Molecular Biology | 17 | 16% |
Computer Science | 12 | 11% |
Medicine and Dentistry | 7 | 6% |
Engineering | 2 | 2% |
Other | 3 | 3% |
Unknown | 10 | 9% |