Quantifying optimal accuracy of local primary sequence bioinformatics methods.
Bioinformatics
; 21(16): 3347-51, 2005 Aug 15.
Article
em En
| MEDLINE
| ID: mdl-15923206
MOTIVATION: Traditional bioinformatics methods scan primary sequences for local patterns. It is important to assess how accurate local primary sequence methods can be. RESULTS: We study the problem of donor pre-mRNA splice site recognition, where the sequence overlaps between real and decoy datasets can be quantified, exposing the intrinsic limitations of the performance of local primary sequence methods. We assess the accuracy of primary sequence methods generally by studying how they scale with dataset size and demonstrate that our new primary sequence ranking methods have superior performance.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Software
/
Alinhamento de Sequência
/
Análise de Sequência de RNA
/
Biologia Computacional
/
RNA Líder para Processamento
/
Modelos Genéticos
Tipo de estudo:
Diagnostic_studies
/
Evaluation_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Bioinformatics
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2005
Tipo de documento:
Article
País de afiliação:
Estados Unidos