Title | Formulating and testing hypotheses in functional genomics. |
Publication Type | Journal Article |
Year of Publication | 2009 |
Authors | Dopazo, J |
Journal | Artif Intell Med |
Volume | 45 |
Issue | 2-3 |
Pagination | 97-107 |
Date Published | 2009 Feb-Mar |
ISSN | 1873-2860 |
Keywords | Biological Evolution; Computational Biology; Genomics; Genotype; Models, Theoretical |
Abstract | OBJECTIVE: The ultimate goal of any genome-scale experiment is to provide a functional interpretation of the results, relating the available genomic information to the hypotheses that originated the experiment.METHODS AND RESULTS: Initially, this interpretation has been made on a pre-selection of relevant genes, based on the experimental values, followed by the study of the enrichment in some functional properties. Nevertheless, functional enrichment methods, demonstrated to have a flaw: the first step of gene selection was too stringent given that the cooperation among genes was ignored. The assumption that modules of genes related by relevant biological properties (functionality, co-regulation, chromosomal location, etc.) are the real actors of the cell biology lead to the development of new procedures, inspired in systems biology criteria, generically known as gene-set methods. These methods have been successfully used to analyze transcriptomic and large-scale genotyping experiments as well as to test other different genome-scale hypothesis in other fields such as phylogenomics. |
DOI | 10.1016/j.artmed.2008.08.003 |
Alternate Journal | Artif Intell Med |
PubMed ID | 18789659 |