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InFiRe -- a novel computational method for the identification of insertion sites in transposon mutagenized bacterial genomes.
Shevchuk, Olga; Roselius, Louisa; Günther, Gabriele; Klein, Johannes; Jahn, Dieter; Steinert, Michael; Münch, Richard.
Afiliación
  • Shevchuk O; Institute of Microbiology, Technische Universität Braunschweig, Spielmannstrasse 7, 38106 Braunschweig, Germany.
Bioinformatics ; 28(3): 306-10, 2012 Feb 01.
Article en En | MEDLINE | ID: mdl-22155866
ABSTRACT
MOTIVATION InFiRe, Insertion Finder via Restriction digest, is a novel software tool that allows for the computational identification of transposon insertion sites in known bacterial genome sequences after transposon mutagenesis experiments. The approach is based on the fact that restriction endonuclease digestions of bacterial DNA yield a unique pattern of DNA fragments with defined sizes. Transposon insertion changes the size of the hosting DNA fragment by a known number of base pairs. The exact size of this fragment can be determined by Southern blot hybridization. Subsequently, the position of insertion can be identified with computational analysis. The outlined method provides a solid basis for the establishment of a new high-throughput technology. AVAILABILITY AND IMPLEMENTATION The software is freely available on our web server at www.infire.tu-bs.de. The algorithm was implemented in the statistical programming language R. For the most flexible use, InFiRe is provided in two different versions. A web interface offers the convenient use in a web browser. In addition, the software and source code is freely available for download as R-packages on our website. CONTACT m.steinert@tu-bs.de SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Mutagénesis Insercional Tipo de estudio: Diagnostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2012 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Mutagénesis Insercional Tipo de estudio: Diagnostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2012 Tipo del documento: Article País de afiliación: Alemania