http://www.cnr.it/ontology/cnr/individuo/prodotto/ID171802
Grid methodology for identifying co-regulated genes and transcription factor binding sites (Articolo in rivista)
- Type
- Label
- Grid methodology for identifying co-regulated genes and transcription factor binding sites (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/TNB.2007.897470 (literal)
- Alternative label
Van der Wath, Elizabeth; Moutsianas, Loukas; van der Wath, Richard; Visagie, Alet; Milanesi, Luciano; Lio, Pietro (2007)
Grid methodology for identifying co-regulated genes and transcription factor binding sites
in IEEE transactions on nanobioscience
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Van der Wath, Elizabeth; Moutsianas, Loukas; van der Wath, Richard; Visagie, Alet; Milanesi, Luciano; Lio, Pietro (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Istituto Tecnologie Biomediche (ITB) Consiglio Nazionale delle Ricerche (CNR), University of Cambridge; University of Oxford; University of Pretoria; (literal)
- Titolo
- Grid methodology for identifying co-regulated genes and transcription factor binding sites (literal)
- Abstract
- The identification of the genes that are coordinately regulated is an important and challenging task of bioinformatics and represents a first step in the elucidation of the topology of transcriptional networks. We first compare the performances, in a grid setting, of the Markov clustering algorithm with respect to the k-means using microarray test data sets. The gene expression information of the clustered genes can be used to annotate transcription binding sites upstream co-regulated genes. The methodology uses a regression model that relates gene expression levels to the matching scores of nucleotide patterns allowing us to identify DNA-binding sites from a collection of noncoding DNA sequences from co-regulated genes. Here we discuss extending the approach to multiple species exploiting the grid framework. (literal)
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