Assessing computational tools for the discovery of small RNA genes in bacteria.
RNA
; 17(9): 1635-47, 2011 Sep.
Article
em En
| MEDLINE
| ID: mdl-21768221
ABSTRACT
Over the past decade, a number of biocomputational tools have been developed to predict small RNA (sRNA) genes in bacterial genomes. In this study, several of the leading biocomputational tools, which use different methodologies, were investigated. The performance of the tools, both individually and in combination, was evaluated on ten sets of benchmark data, including data from a novel RNA-seq experiment conducted in this study. The results of this study offer insight into the utility as well as the limitations of the leading biocomputational tools for sRNA identification and provide practical guidance for users of the tools.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
RNA Bacteriano
/
Biologia Computacional
/
Pequeno RNA não Traduzido
/
Genes Bacterianos
Tipo de estudo:
Guideline
Idioma:
En
Revista:
RNA
Assunto da revista:
BIOLOGIA MOLECULAR
Ano de publicação:
2011
Tipo de documento:
Article
País de afiliação:
Estados Unidos