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The GATO gene annotation tool for research laboratories
Fujita, A; Massirer, K. B; Durham, A. M; Ferreira, C. E; Sogayar, M. C.
  • Fujita, A; Universidade de São Paulo. Instituto de Química. São Paulo. BR
  • Massirer, K. B; Universidade de São Paulo. Instituto de Química. São Paulo. BR
  • Durham, A. M; Universidade de São Paulo. Instituto de Matemática e Estatística. São Paulo. BR
  • Ferreira, C. E; Universidade de São Paulo. Instituto de Matemática e Estatística. São Paulo. BR
  • Sogayar, M. C; Universidade de São Paulo. Instituto de Química. São Paulo. BR
Braz. j. med. biol. res ; 38(11): 1571-1574, Nov. 2005. ilus
Article in English | LILACS | ID: lil-414710
ABSTRACT
Large-scale genome projects have generated a rapidly increasing number of DNA sequences. Therefore, development of computational methods to rapidly analyze these sequences is essential for progress in genomic research. Here we present an automatic annotation system for preliminary analysis of DNA sequences. The gene annotation tool (GATO) is a Bioinformatics pipeline designed to facilitate routine functional annotation and easy access to annotated genes. It was designed in view of the frequent need of genomic researchers to access data pertaining to a common set of genes. In the GATO system, annotation is generated by querying some of the Web-accessible resources and the information is stored in a local database, which keeps a record of all previous annotation results. GATO may be accessed from everywhere through the internet or may be run locally if a large number of sequences are going to be annotated. It is implemented in PHP and Perl and may be run on any suitable Web server. Usually, installation and application of annotation systems require experience and are time consuming, but GATO is simple and practical, allowing anyone with basic skills in informatics to access it without any special training. GATO can be downloaded at [http://mariwork.iq.usp.br/gato/]. Minimum computer free space required is 2 MB.
Subject(s)
Full text: Available Index: LILACS (Americas) Main subject: Database Management Systems / Sequence Analysis, DNA / Computational Biology / Biomedical Research Limits: Humans Language: English Journal: Braz. j. med. biol. res Journal subject: Biology / Medicine Year: 2005 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade de São Paulo/BR

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Full text: Available Index: LILACS (Americas) Main subject: Database Management Systems / Sequence Analysis, DNA / Computational Biology / Biomedical Research Limits: Humans Language: English Journal: Braz. j. med. biol. res Journal subject: Biology / Medicine Year: 2005 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade de São Paulo/BR