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Optimal clone identifier for genomic shotgun libraries: "OC Identifier tool"
Cantão, M. E; Ferreira, J. E; Lemos, E. G. M.
  • Cantão, M. E; Universidade de São Paulo. Instituto de Matemática e Estatística. Departamento de Ciência da Computação. São Paulo. BR
  • Ferreira, J. E; Universidade de São Paulo. Instituto de Matemática e Estatística. Departamento de Ciência da Computação. São Paulo. BR
  • Lemos, E. G. M; UNESP. Faculdade de Ciências Agrárias e Veterinárias. Jaboticabal. BR
Genet. mol. res. (Online) ; 6(4): 743-755, 2007. ilus
Article in English | LILACS | ID: lil-520067
ABSTRACT
In DNA microarray experiments, the gene fragments that are spotted on the slides are usually obtained by the synthesis of specific oligonucleotides that are able to amplify genes through PCR. Shotgun library sequences are an alternative to synthesis of primers for the study of each gene in the genome. The possibility of putting thousands of gene sequences into a single slide allows the use of shotgun clones in order to proceed with microarray analysis without a completely sequenced genome. We developed an OC Identifier tool (optimal clone identifier for genomic shotgun libraries) for the identification of unique genes in shotgun libraries based on a partially sequenced genome; this allows simultaneous use of clones in projects such as transcriptome and phylogeny studies, using comparative genomic hybridization and genome assembly. The OC Identifier tool allows comparative genome analysis, biological databases, query language in relational databases, and provides bioinformatics tools to identify clones that contain unique genes as alternatives to primer synthesis. The OC Identifier allows analysis of clones during the sequencing phase, making it possible to select genes of interest for construction of a DNA microarray.
Subject(s)
Full text: Available Index: LILACS (Americas) Main subject: Software / Genomic Library / Genome, Bacterial / Computational Biology Language: English Journal: Genet. mol. res. (Online) Journal subject: Molecular Biology / Genetics Year: 2007 Type: Article / Congress and conference Affiliation country: Brazil Institution/Affiliation country: UNESP/BR / Universidade de São Paulo/BR

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Full text: Available Index: LILACS (Americas) Main subject: Software / Genomic Library / Genome, Bacterial / Computational Biology Language: English Journal: Genet. mol. res. (Online) Journal subject: Molecular Biology / Genetics Year: 2007 Type: Article / Congress and conference Affiliation country: Brazil Institution/Affiliation country: UNESP/BR / Universidade de São Paulo/BR