Systematic exploration of error sources in pyrosequencing flowgram data.
Bioinformatics
; 27(13): i304-9, 2011 Jul 01.
Article
em En
| MEDLINE
| ID: mdl-21685085
MOTIVATION: 454 pyrosequencing, by Roche Diagnostics, has emerged as an alternative to Sanger sequencing when it comes to read lengths, performance and cost, but shows higher per-base error rates. Although there are several tools available for noise removal, targeting different application fields, data interpretation would benefit from a better understanding of the different error types. RESULTS: By exploring 454 raw data, we quantify to what extent different factors account for sequencing errors. In addition to the well-known homopolymer length inaccuracies, we have identified errors likely to originate from other stages of the sequencing process. We use our findings to extend the flowsim pipeline with functionalities to simulate these errors, and thus enable a more realistic simulation of 454 pyrosequencing data with flowsim. AVAILABILITY: The flowsim pipeline is freely available under the General Public License from http://biohaskell.org/Applications/FlowSim. CONTACT: susanne.balzer@imr.no.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Análise de Sequência de DNA
/
Sequenciamento de Nucleotídeos em Larga Escala
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Ano de publicação:
2011
Tipo de documento:
Article