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ABSTRACT: Background
Next-generation DNA sequencing platforms are capable of generating millions of reads in a matter of days at rapidly reducing costs. Despite its proliferation and technological improvements, the performance of next-generation sequencing remains adversely affected by the imperfections in the underlying biochemical and signal acquisition procedures. To this end, various techniques, including statistical methods, are used to improve read lengths and accuracy of these systems. Development of high performing base calling algorithms that are computationally efficient and scalable is an ongoing challenge.Results
We develop model-based statistical methods for fast and accurate base calling in Illumina's next-generation sequencing platforms. In particular, we propose a com
SUBMITTER: Das S
PROVIDER: S-EPMC3776450 | biostudies-literature | 2013 Apr
REPOSITORIES: biostudies-literature