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Cei Abreu-Goodger

dblp:59/4314 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
comparative genomics		 0.012004
GeConT: gene context analysis · Bioinform. 2004
Bioinformatics and computational biology › functional genomics
gene context analysis		 0.012004
GeConT: gene context analysis · Bioinform. 2004
Bioinformatics and computational biology › genomics › genome visualization
genomic context visualization		 0.012004
GeConT: gene context analysis · Bioinform. 2004
Bioinformatics and computational biology › comparative genomics › orthology analysis
ortholog identification		 0.012004
GeConT: gene context analysis · Bioinform. 2004
YearPublicationVenuePosition
2004 GeConT: gene context analysis
abstract
SUMMARY: The fact that adjacent genes in bacteria are often functionally related is widely known. GeConT (Gene Context Tool) is a web interface designed to visualize genome context of a gene or a group of genes and their orthologs in all the completely sequenced genomes. The graphical information of GeConT can be used to analyze genome annotation, functional ortholog identification or to verify the genomic context congruence of any set of genes that share a common property. AVAILABILITY: http://www.ibt.unam.mx/biocomputo/gecont.html
Ricardo Ciria, Cei Abreu-Goodger, Enrique Morett, Enrique Merino
 Bioinform.2