Identifying Regulatory Sites Using Neighborhood Species (Contributo in atti di convegno)

Type
Label
  • Identifying Regulatory Sites Using Neighborhood Species (Contributo in atti di convegno) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • C. Angelini, L. Cutillo, I. De Feis, R. van der Wath, P. Lio' (2007)
    Identifying Regulatory Sites Using Neighborhood Species
    in 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO 2007), Valencia, APR 11-13, 2007
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • C. Angelini, L. Cutillo, I. De Feis, R. van der Wath, P. Lio' (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 10 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, Proceedings (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 4447 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto per le Applicazioni del Calcolo \"Mauro Picone\" CNR, Napoly Italy ; Computer Laboratory, University of Cambridge, Cambridge UK (literal)
Titolo
  • Identifying Regulatory Sites Using Neighborhood Species (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-540-71782-9 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Marchiori, E; Moore, JH; Rajapakse, JC (literal)
Abstract
  • The annotation of transcription binding sites in new sequenced genomes is an important and challenging problem. We have previously shown how a regression model that linearly relates gene expression levels to the matching scores of nucleotide patterns allows us to identify DNA-binding sites from a collection of co-regulated genes and their nearby non-coding DNA sequences. Our methodology uses Bayesian models and stochastic search techniques to select transcription factor binding site candidates. Here we show that this methodology allows us to identify binding sites in nearby species. We present examples of annotation crossing from Schizosaccharomyces pombe to Schizosaccharomyces japonicus. We found that the eng1 motif is also regulating a set of 9 genes in S. japonicus. Our framework may have an effective interest in conveying information in the annotation process of a new species. Finally we discuss a number of statistical and biological issues related to the identification of binding sites through covariates of genes expression and sequences. (literal)
Prodotto di
Autore CNR

Incoming links:


Prodotto
Autore CNR di
data.CNR.it