title: The GATO gene annotation tool for research laboratories.
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.
authors.affiliation: Instituto de Química, Universidade de São Paulo, São Paulo, SP, Brazil.
authors.forename: A
authors.initials: A
authors.lastname: Fujita
authors.forename: K B
authors.initials: KB
authors.lastname: Massirer
authors.forename: A M
authors.initials: AM
authors.lastname: Durham
authors.forename: C E
authors.initials: CE
authors.lastname: Ferreira
authors.forename: M C
authors.initials: MC
authors.lastname: Sogayar
mesh_terms: D035843:Biomedical Research / Q000295:instrumentation*; D019295:Computational Biology / Q000295:instrumentation*; D003628:Database Management Systems / Q000295:instrumentation*; D030541:Databases, Genetic; D006801:Humans; D007753:Laboratories; D017422:Sequence Analysis, DNA / Q000295:instrumentation / Q000379:methods*; D016324:Sequence Tagged Sites; D014584:User-Computer Interface