http://www.cnr.it/ontology/cnr/individuo/prodotto/ID56879
ORTom: a multi-species approach based on conserved co-expression to identify putative functional relationships among genes in tomato. (Articolo in rivista)
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- ORTom: a multi-species approach based on conserved co-expression to identify putative functional relationships among genes in tomato. (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/s11103-010-9638-z (literal)
- Alternative label
Miozzi, L., Provero, P., Accotto, G.P. (2010)
ORTom: a multi-species approach based on conserved co-expression to identify putative functional relationships among genes in tomato.
in Plant molecular biology
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Miozzi, L., Provero, P., Accotto, G.P. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- L'articolo è associato ad un database consultabile on line all'indirizzo web http://ortom.ivv.cnr.it/
Il lavoro è stato in parte supportato dai progetti ''GenoPom'' (MIUR, Italy), B74 (Ricerca Scientifica Applicata 2004, Regione Piemonte, Italy) e dall'Associazione Italiana per la Ricerca sul Cancro (AIRC). (literal)
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- Rivista
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- DOI 10.1007/s11103-010-9638-z
IMPACT FACTOR: 3.541 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
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- ISI Web of Science (WOS) (literal)
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- ML, AGP Istituto di Virologia Vegetale, CNR, Strada delle Cacce 73, 10135 Turin, Italy
PP Molecular Biotechnology Center and Dipartimento di Genetica, Biologia e Biochimica, Universita` di Torino, Via Nizza 52, 10100 Turin, Italy (literal)
- Titolo
- ORTom: a multi-species approach based on conserved co-expression to identify putative functional relationships among genes in tomato. (literal)
- Abstract
- Co-expressed genes are often expected to be functionally related and many bioinformatics approaches based on co-expression have been developed to infer their biological role. However, such annotations may be unreliable, whereas the evolutionary conservation of gene co-expression among species may form a basis for more confident predictions. The huge amount of expression data (microarrays, SAGE, ESTs) has already allowed functional studies based on conserved co-expression in animals. Up to now, the implementation of analogous tools for plants has been strongly limited probably by the paucity and heterogeneity of data. Here we present ORTom, a tomato-centred EST data-mining approach based on conserved co-expression in the Solanaceae family. ORTom can be used to predict functional relationships among genes and to prioritize candidate genes for targeted studies. The method consists in ranking ESTs co-expressed with a gene of interest according to the level of expression pattern conservation in phylogenetically-related plants (potato, tobacco and pepper) to obtain lists of putative functionally-related genes. The lists are then analyzed for Gene Ontology keyword enrichment. The web server ORTom has been implemented to make the results publicly-available and searchable. Few biological examples on how the tool can be used are presented. (literal)
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