ConsPred: a rule-based (re-)annotation framework for prokaryotic genomes.
Bioinformatics
; 32(21): 3327-3329, 2016 11 01.
Article
em En
| MEDLINE
| ID: mdl-27378292
ABSTRACT
MOTIVATION The rapidly growing number of available prokaryotic genome sequences requires fully automated and high-quality software solutions for their initial and re-annotation. Here we present ConsPred, a prokaryotic genome annotation framework that performs intrinsic gene predictions, homology searches, predictions of non-coding genes as well as CRISPR repeats and integrates all evidence into a consensus annotation. ConsPred achieves comprehensive, high-quality annotations based on rules and priorities, similar to decision-making in manual curation and avoids conflicting predictions. Parameters controlling the annotation process are configurable by the user. ConsPred has been used in the institutions of the authors for longer than 5 years and can easily be extended and adapted to specific needs. SUMMARY:
The ConsPred algorithm for producing a consensus from the varying scores of multiple gene prediction programs approaches manual curation in accuracy. Its rule-based approach for choosing final predictions avoids overriding previous manual curations. AVAILABILITY AND IMPLEMENTATION ConsPred is implemented in Java, Perl and Shell and is freely available under the Creative Commons license as a stand-alone in-house pipeline or as an Amazon Machine Image for cloud computing, see https//sourceforge.net/projects/conspred/. CONTACT thomas.rattei@univie.ac.atSupplementary information Supplementary data are available at Bioinformatics online.
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01-internacional
Base de dados:
MEDLINE
Assunto principal:
Células Procarióticas
/
Software
/
Genoma
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Bioinformatics
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2016
Tipo de documento:
Article
País de afiliação:
Áustria