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20022005
most citedComputational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrepresented upstream motifs

12 citations · 18 across the 3 of their papers we have counts for

collaborators

5 papers

q-bio.GN20056 cited

Ab initio identification of putative human transcription factor binding sites by comparative genomics

Davide Cora', Carl Herrmann, Christoph Dieterich +3

We discuss a simple and powerful approach for the ab initio identification of cis-regulatory motifs involved in transcriptional regulation. The method we present integrates several…

q-bio.GN200312 cited

Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrepresented upstream motifs

Davide Cora', Ferdinando Di Cunto, Paolo Provero +2

BACKGROUND: Transcriptional regulation is a key mechanism in the functioning of the cell, and is mostly effected through transcription factors binding to specific recognition motif…

cond-mat.dis-nn2003

A computational approach to regulatory element discovery in eukaryotes

M. Caselle, F. Di Cunto, P. Provero

Gene regulation in Eukaryotes is mainly effected through transcription factors binding to rather short recognition motifs generally located upstream of the coding region. We presen…

physics.bio-ph2002

Correlating overrepresented upstream motifs to gene expression: a computational approach to regulatory element discovery in eukaryotes

M. Caselle, F. Di Cunto, P. Provero

Gene regulation in eukaryotes is mainly effected through transcription factors binding to rather short recognition motifs generally located upstream of the coding region. We presen…

physics.bio-ph2002

Finding regulatory sites from statistical analysis of nucleotide frequencies in the upstream region of eukaryotic genes

M. Caselle, F. Di Cunto, M. Pellegrino +1

We discuss two new approaches to extract relevant biological information on the Transcription Factors (and in particular to identify their binding sequences) from the statistical d…