| Grant number: | 09/10382-2 |
| Support Opportunities: | Regular Research Grants |
| Start date: | August 01, 2010 |
| End date: | July 31, 2012 |
| Field of knowledge: | Physical Sciences and Mathematics - Physics - Condensed Matter Physics |
| Principal Investigator: | Ney Lemke |
| Grantee: | Ney Lemke |
| Host Institution: | Instituto de Biociências (IBB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil |
| City of the host institution: | Botucatu |
Abstract
The development of high-throughput techniques in biology is transforming biology in a data-rich discipline. We will consider in this project integrated biological networks: these networks deal with all the gene interactions mediated by metabolism, regulation and protein-protein interactions. We will deploy machine learning tools that will use topological data from these graphs, expression data, genomic organization and cellular localization to extract relevant biological information such as detection of drug target genes, morbid genes for humans or essential genes for bacteria. We will also investigate the community structure of these networks and we will detect topological motifs aiming the characterization of the large scale topological organization of gene interactions on biological cells. (AU)
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