A-DaGO-Fun: an adaptable Gene Ontology semantic similarity-based functional analysis tool.
Bioinformatics
; 32(3): 477-9, 2016 Feb 01.
Article
em En
| MEDLINE
| ID: mdl-26476781
ABSTRACT
SUMMARY:
Gene Ontology (GO) semantic similarity measures are being used for biological knowledge discovery based on GO annotations by integrating biological information contained in the GO structure into data analyses. To empower users to quickly compute, manipulate and explore these measures, we introduce A-DaGO-Fun (ADaptable Gene Ontology semantic similarity-based Functional analysis). It is a portable software package integrating all known GO information content-based semantic similarity measures and relevant biological applications associated with these measures. A-DaGO-Fun has the advantage not only of handling datasets from the current high-throughput genome-wide applications, but also allowing users to choose the most relevant semantic similarity approach for their biological applications and to adapt a given module to their needs. AVAILABILITY AND IMPLEMENTATION A-DaGO-Fun is freely available to the research community at http//web.cbio.uct.ac.za/ITGOM/adagofun. It is implemented in Linux using Python under free software (GNU General Public Licence). CONTACT gmazandu@cbio.uct.ac.za or Nicola.Mulder@uct.ac.za SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Semântica
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Software
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Proteínas
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Biologia Computacional
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Anotação de Sequência Molecular
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Ontologia Genética
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Genes
Limite:
Humans
Idioma:
En
Revista:
Bioinformatics
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2016
Tipo de documento:
Article
País de afiliação:
Gana