CROC: finding chromosomal clusters in eukaryotic genomes | Zendy

Miguel Pignatelli | Zendy; Florenci Serras | Zendy; Andrés Moyá | Zendy; Roderic Guigó | Zendy; Montserrat Corominas | Zendy

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CROC: finding chromosomal clusters in eukaryotic genomes

Author(s) -

Miguel Pignatelli,

Florenci Serras,

Andrés Moyá,

Roderic Guigó,

Montserrat Corominas

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp248

Subject(s) - identification (biology) , genome , biology , computational biology , gene , web server , genetics , world wide web , the internet , computer science , ecology

There is increasing evidence showing that co-expression of genes that cluster along the genome is a common characteristic of eukaryotic transcriptomes. Several algorithms have been used to date in the identification of these kinds of gene organization. Here, we present a web tool called CROC that aims to help in the identification and analysis of genomic gene clusters. This method has been successfully used before in the identification of chromosomal clusters in different eukaryotic species.

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