The first step in gene expression, transcription, is modulated by the interaction of transcription factors with their corresponding binding sites on the DNA sequence. Pscan is a software tool that scans a set of sequences (e. g. promoters) from co-regulated or co-expressed genes with motifs describing the binding specificity of known transcription factors and assesses which motifs are significantly over-or under-represented, providing thus hints on which transcription factors could be common regulators of the genes studied, together with the location of their candidate binding sites in the sequences. Pscan does not resort to comparisons with orthologous sequences and experimental results show that it compares favorably to other tools for the same task in terms of false positive predictions and computation time. The website is free and open to all users and there is no login requirement.

Pscan: finding over-represented transcription factor binding site motifs in sequences from co-regulated or co-expressed genes / F. Zambelli, G. Pesole, G. Pavesi. - In: NUCLEIC ACIDS RESEARCH. - ISSN 0305-1048. - 37:suppl. 2(2009 Jul 01), pp. W247-W252. [10.1093/nar/gkp464]

Pscan: finding over-represented transcription factor binding site motifs in sequences from co-regulated or co-expressed genes

F. Zambelli
Primo
;
G. Pavesi
2009

Abstract

The first step in gene expression, transcription, is modulated by the interaction of transcription factors with their corresponding binding sites on the DNA sequence. Pscan is a software tool that scans a set of sequences (e. g. promoters) from co-regulated or co-expressed genes with motifs describing the binding specificity of known transcription factors and assesses which motifs are significantly over-or under-represented, providing thus hints on which transcription factors could be common regulators of the genes studied, together with the location of their candidate binding sites in the sequences. Pscan does not resort to comparisons with orthologous sequences and experimental results show that it compares favorably to other tools for the same task in terms of false positive predictions and computation time. The website is free and open to all users and there is no login requirement.
statistics; discovery; profiles; mouse; tools; sets
Settore INF/01 - Informatica
Settore BIO/11 - Biologia Molecolare
1-lug-2009
Article (author)
File in questo prodotto:
File Dimensione Formato  
Nucl. Acids Res.-2009-Zambelli-W247-52.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 5.96 MB
Formato Adobe PDF
5.96 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/147636
Citazioni
  • ???jsp.display-item.citation.pmc??? 244
  • Scopus 316
  • ???jsp.display-item.citation.isi??? 307
social impact