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dc.contributor.authorBalzer, Susanne Mignoneng
dc.contributor.authorMalde, Ketileng
dc.contributor.authorJonassen, Ingeeng
dc.date.accessioned2013-10-30T12:43:09Z
dc.date.available2013-10-30T12:43:09Z
dc.date.issued2011eng
dc.identifier.issn1367-4803en_US
dc.identifier.urihttps://hdl.handle.net/1956/7457
dc.descriptionISMB/ECCB 2011 PROCEEDINGS PAPERS COMMITTEE JULY 17 TO JULY 19, 2011, VIENNA, AUSTRIA.eng
dc.description.abstractMotivation: 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/FlowSimen_US
dc.language.isoengeng
dc.publisherOxford University Pressen_US
dc.relation.ispartof<a href="http://hdl.handle.net/1956/7455" target="blank">Characteristics of Pyrosequencing Data – Analysis, Methods, and Tools</a>en_US
dc.rightsAttribution-NonCommercial CC BY-NCeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc/2.5eng
dc.titleSystematic exploration of error sources in pyrosequencing flowgram dataen_US
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright The Author(s) 2011. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.identifier.doihttps://doi.org/10.1093/bioinformatics/btr251
dc.source.journalBioinformatics
dc.source.4027
dc.source.1413
dc.source.pagenumberi304-i309


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