GenoMiner: a tool for genome-wide search of coding and non-coding conserved sequence tags

  • Authors:
  • Tiziana Castrignanò;Paolo D'Onorio De Meo;Giorgio Grillo;Sabino Liuni;Flavio Mignone;Ivano Giuseppe Talamo;Graziano Pesole

  • Affiliations:
  • Consorzio Interuniversitario per le Applicazioni di Supercalcolo per Universitàe Ricerca, CASPUR Rome, Italy;Consorzio Interuniversitario per le Applicazioni di Supercalcolo per Universitàe Ricerca, CASPUR Rome, Italy;Istituto Tecnologie Biomediche, Sede di Bari Consiglio Nazionale delle Ricerche, Italy;Istituto Tecnologie Biomediche, Sede di Bari Consiglio Nazionale delle Ricerche, Italy;University of Milan, Dipartimento di Scienze Biomolecolari e Biotecnologie via Celoria 26, Milan 20133, Italy;Consorzio Interuniversitario per le Applicazioni di Supercalcolo per Universitàe Ricerca, CASPUR Rome, Italy;Istituto Tecnologie Biomediche, Sede di Bari Consiglio Nazionale delle Ricerche, Italy

  • Venue:
  • Bioinformatics
  • Year:
  • 2006

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Abstract

Summary: GenoMiner is a software tool that searches for regions of similarity between user-submitted genome or transcript sequences and user-specified whole genome assemblies. The program then identifies conserved sequence tags (CSTs) in these homologous regions and provides a prediction of their coding or non-coding nature. The analysis is carried out through three steps: (1) definition of sequence regions homologous to the query sequence in the selected target genomes by a fast BLAT alignment; (2) identification of CSTs by a more sensitive BLAST-like alignment between the query and the homologous regions in the target genomes and (3) assessment of the coding or non-coding nature of detected CSTs through the computation of a suitable coding potential score. GenoMiner allows the user to search the query sequence against a number of vertebrate genome assemblies in a single run providing a user-friendly graphical output. Availability: http://www.caspur.it/GenoMiner/. GenoMiner software and documentation is available from the authors upon request. Contact: graziano.pesole@unimi.it