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most citedThe interface free energy: Comparison of accurate Monte Carlo results for the 3D Ising model with effective interface models

35 citations · 113 across the 12 of their papers we have counts for

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6 papers · 1 filter

q-bio.GN20083 cited

Identity and divergence of protein domain architectures after the Yeast Whole Genome Duplication event

D. Fusco, L. Grassi, A. L. Sellerio +4

Analyzing the properties of duplicate genes during evolution is useful to understand the development of new cell functions. The yeast S. cerevisiae is a useful testing ground for t…

q-bio.GN20075 cited

DrosOCB: a high resolution map of conserved non coding sequences in Drosophila

L. Martignetti, M. Caselle, B. Jacq +1

Comparative genomics methods are widely used to aid the functional annotation of non coding DNA regions. However, aligning non coding sequences requires new algorithms and strategi…

q-bio.GN2007

Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions

Davide Cora, Ferdinando Di Cunto, Michele Caselle +1

3' untranslated regions (3' UTRs) contain binding sites for many regulatory elements, and in particular for microRNAs (miRNAs). The importance of miRNA-mediated post-transcriptiona…

q-bio.GN200714 cited

Universal power law behaviors in genomic sequences and evolutionary models

L. Martignetti, M. Caselle

We study the length distribution of a particular class of DNA sequences known as 5'UTR exons. These exons belong to the messanger RNA of protein coding genes, but they are not codi…

q-bio.GN2006

Correlated fragile site expression allows the identification of candidate fragile genes involved in immunity and associated with carcinogenesis

A. Re, D. Cora, A. M. Puliti +2

Common fragile sites (cfs) are specific regions in the human genome that are particularly prone to genomic instability under conditions of replicative stress. Several investigation…

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…