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Cluster Locator, online analysis and visualization of gene clustering.
Pazos Obregón, Flavio; Soto, Pablo; Lavín, José Luis; Cortázar, Ana Rosa; Barrio, Rosa; Aransay, Ana María; Cantera, Rafael.
Afiliação
  • Pazos Obregón F; Developmental Neurobiology, IIBCE, Montevideo, Uruguay.
  • Soto P; Developmental Neurobiology, IIBCE, Montevideo, Uruguay.
  • Lavín JL; Genome Analysis Platform, Derio, Spain.
  • Cortázar AR; Genome Analysis Platform, Derio, Spain.
  • Barrio R; Functional Genomics Unit, CIC bioGUNE, Derio, Spain.
  • Aransay AM; Genome Analysis Platform, Derio, Spain.
  • Cantera R; CIBERehd, ISCIII, Madrid, Spain.
Bioinformatics ; 34(19): 3377-3379, 2018 10 01.
Article em En | MEDLINE | ID: mdl-29701747
ABSTRACT

Summary:

Genes sharing functions, expression patterns or quantitative traits are not randomly distributed along eukaryotic genomes. In order to study the distribution of genes that share a given feature, we present Cluster Locator, an online analysis and visualization tool. Cluster Locator determines the number, size and position of all the clusters formed by the protein-coding genes on a list according to a given maximum gap, the percentage of gene clustering of the list and its statistical significance. The output includes a visual representation of the distribution of genes and gene clusters along the reference genome. Availability and implementation Cluster Locator is freely available at http//clusterlocator.bnd.edu.uy/. Supplementary information Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Família Multigênica Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Família Multigênica Idioma: En Ano de publicação: 2018 Tipo de documento: Article