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Modeling sequencing errors by combining Hidden Markov models

Lottaz, C., Iseli, C., Jongeneel, C. V. and Bucher, P. (2003) Modeling sequencing errors by combining Hidden Markov models. Bioinformatics 19 (Suppl2), ii103-ii112.

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Abstract

Among the largest resources for biological sequence data is the large amount of expressed sequence tags (ESTs) available in public and proprietary databases. ESTs provide information on transcripts but for technical reasons they often contain sequencing errors. Therefore, when analyzing EST sequences computationally, such errors must be taken into account. Earlier attempts to model error prone ...

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Item type:Article
Date:9 June 2003
Institutions:Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Identification Number:
ValueType
10.1093/bioinformatics/btg1067DOI
Keywords:coding region prediction, sequencing errors, expressed sequence tags, hidden Markov models
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:No
Item ID:32949
Owner only: item control page

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