Optimal seed solver: optimizing seed selection in read mapping

Author:

Xin Hongyi1,Nahar Sunny1,Zhu Richard1,Emmons John2,Pekhimenko Gennady1,Kingsford Carl3,Alkan Can4,Mutlu Onur15

Affiliation:

1. Computer Science Department,

2. Department of Computer Science and Engineering, Washington University, St. Louis, MO 63130, USA

3. Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA,

4. Department of Computer Engineering, Bilkent University, Bilkent, Ankara 06800, Turkey and

5. Department of Electrical and Computer Engineering,

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference35 articles.

1. A map of human genome variation from population-scale sequencing;1000 Genomes Project Consortium;Nature,2010

2. An integrated map of genetic variation from 1 092 human genomes;1000 Genomes Project Consortium;Nature,2012

3. Hobbes: optimized gram-based methods for efficient read alignment;Ahmadi;Nucleic Acids Res.,2011

4. Personalized copy number and segmental duplication maps using next-generation sequencing;Alkan;Nat. Genet.,2009

5. A block-sorting lossless data compression algorithm Technical Report, 124, Digital Equipment Corporation;Burrows,1994

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