New Est Trimming Strategy

dc.creatorBaudet C.
dc.creatorDias Z.
dc.date2005
dc.date2015-06-26T14:07:25Z
dc.date2015-11-26T15:41:40Z
dc.date2015-06-26T14:07:25Z
dc.date2015-11-26T15:41:40Z
dc.date.accessioned2018-03-28T22:50:11Z
dc.date.available2018-03-28T22:50:11Z
dc.identifier
dc.identifierLecture Notes In Bioinformatics (subseries Of Lecture Notes In Computer Science). , v. 3594, n. , p. 206 - 209, 2005.
dc.identifier3029743
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-26444612774&partnerID=40&md5=96fd8fe2d14b1f6186d9d6a9d6000b9e
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/93346
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/93346
dc.identifier2-s2.0-26444612774
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1264670
dc.descriptionTrimming procedures are an important part of the sequence analysis pipeline in an EST Sequencing Project. In general, trimming is done in several phases, each one detecting and removing some kind of undesirable artifact, such as low quality sequence, vectors or adapters, and contamination. However, this strategy often results in a phase being unable to recognize its target because part of it was removed during a previous phase. To remedy this drawback, we propose a new strategy, where each phase detects but does not remove its target, leaving this decision to a post processing step occurring after all phases. Our tests show that this strategy can significantly improve the detection of artifacts. © Springer-Verlag Berlin Heidelberg 2005.
dc.description3594
dc.description
dc.description206
dc.description209
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dc.languageen
dc.publisher
dc.relationLecture Notes in Bioinformatics (Subseries of Lecture Notes in Computer Science)
dc.rightsfechado
dc.sourceScopus
dc.titleNew Est Trimming Strategy
dc.typeActas de congresos


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