SNP calling using genotype model selection on high-throughput sequencing data | Zendy

Na You | Zendy; Gabriel Murillo | Zendy; Xiaoquan Su | Zendy; Xiaowei Zeng | Zendy; Jian Xu | Zendy; Kang Ning | Zendy; Shoudong Zhang | Zendy; JianKang Zhu | Zendy; Xinping Cui | Zendy

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SNP calling using genotype model selection on high-throughput sequencing data

Author(s) -

Na You,

Gabriel Murillo,

Xiaoquan Su,

Xiaowei Zeng,

Jian Xu,

Kang Ning,

Shoudong Zhang,

JianKang Zhu,

Xinping Cui

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts001

Subject(s) - snp , selection (genetic algorithm) , throughput , genotype , computer science , dna sequencing , computational biology , genetics , biology , single nucleotide polymorphism , data mining , artificial intelligence , gene , telecommunications , wireless

A review of the available single nucleotide polymorphism (SNP) calling procedures for Illumina high-throughput sequencing (HTS) platform data reveals that most rely mainly on base-calling and mapping qualities as sources of error when calling SNPs. Thus, errors not involved in base-calling or alignment, such as those in genomic sample preparation, are not accounted for.

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