Identify regulatory sites using neighbourhood species, (Articolo in rivista)

Type
Label
  • Identify regulatory sites using neighbourhood species, (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Angelini C., Cutillo L., De Feis I., Lio' P., van der Wath R. (2007)
    Identify regulatory sites using neighbourhood species,
    in Lecture notes in computer science
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Angelini C., Cutillo L., De Feis I., Lio' P., van der Wath R. (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 10 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 4447 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In EVOBIO 2007, 5th European Conference On Evolutionary Computation Machine Learning And Data Mining In Bioinformatics, Valencia, Spain, 11-13 April 2007 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • C. angelini, L. cutillo, I. De Feis, Istituto per le Applicazioni del Calcolo ”Mauro Picone” CNR, Napoly Italy P. Lio R. van der Wath, Computer Laboratory, University of Cambridge, Cambridge UK (literal)
Titolo
  • Identify regulatory sites using neighbourhood species, (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
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
Insieme di parole chiave di
data.CNR.it