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Michele Ettorre

dblp:130/7339 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
comparative genomics
0.212013
HOMECAT: consensus homologs mapping for interspecific knowledge transfer and functional genomic data integration · Bioinform. 2013
Bioinformatics and computational biology › comparative genomics
cross-species data integration
0.212013
HOMECAT: consensus homologs mapping for interspecific knowledge transfer and functional genomic data integration · Bioinform. 2013
Bioinformatics and computational biology › comparative genomics › orthology analysis
ortholog identification
0.212013
HOMECAT: consensus homologs mapping for interspecific knowledge transfer and functional genomic data integration · Bioinform. 2013
Bioinformatics and computational biology
data integration
0.012013
HOMECAT: consensus homologs mapping for interspecific knowledge transfer and functional genomic data integration · Bioinform. 2013
Bioinformatics and computational biology
functional genomics
0.012013
HOMECAT: consensus homologs mapping for interspecific knowledge transfer and functional genomic data integration · Bioinform. 2013
YearPublicationVenuePosition
2013 HOMECAT: consensus homologs mapping for interspecific knowledge transfer and functional genomic data integration
abstract
MOTIVATION: Comparative studies are encouraged by the fast increase of data availability from the latest high-throughput techniques, in particular from functional genomic studies. Yet, the size of datasets, the challenge of complete orthologs findings and not last, the variety of identification formats, make information integration challenging. With HOMECAT, we aim to facilitate cross-species relationship identification and data mapping, by combining orthology predictions from several publicly available sources, a convenient interface for high-throughput data download and automatic identifier conversion into a Cytoscape plug-in, that provides both an integration with a large set of bioinformatics tools, as well as a user-friendly interface. AVAILABILITY: HOMECAT and the Supplementary Materials are freely available at http://www.cbmc.it/homecat/.
Simone Zorzan, Erika Lorenzetto, Michele Ettorre, Valeria Pontelli, Carlo Laudanna, Mario Buffelli
Bioinform.3