Seed Design Framework for Mapping SOLiD Reads View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2010

AUTHORS

Laurent Noé , Marta Gîrdea , Gregory Kucherov

ABSTRACT

The advent of high-throughput sequencing technologies constituted a major advance in genomic studies, offering new prospects in a wide range of applications. We propose a rigorous and flexible algorithmic solution to mapping SOLiD color-space reads to a reference genome. The solution relies on an advanced method of seed design that uses a faithful probabilistic model of read matches and, on the other hand, a novel seeding principle especially adapted to read mapping. Our method can handle both lossy and lossless frameworks and is able to distinguish, at the level of seed design, between SNPs and reading errors. We illustrate our approach by several seed designs and demonstrate their efficiency. More... »

PAGES

384-396

Book

TITLE

Research in Computational Molecular Biology

ISBN

978-3-642-12682-6
978-3-642-12683-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-12683-3_25

DOI

http://dx.doi.org/10.1007/978-3-642-12683-3_25

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014326424


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