z-logo
open-access-imgOpen Access
Designing Efficient Spaced Seeds for SOLiD Read Mapping
Author(s) -
Laurent Noé,
Marta Gîrdea,
Grégory Kucherov
Publication year - 2010
Publication title -
advances in bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.33
H-Index - 20
eISSN - 1687-8035
pISSN - 1687-8027
DOI - 10.1155/2010/708501
Subject(s) - computer science , throughput , lossless compression , lossy compression , probabilistic logic , range (aeronautics) , computer engineering , data mining , theoretical computer science , algorithm , artificial intelligence , data compression , wireless , telecommunications , materials science , composite material
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom