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. 2003 Feb 12;19(3):421-2.
doi: 10.1093/bioinformatics/btf881.

Redundancy based detection of sequence polymorphisms in expressed sequence tag data using autoSNP

Gary Barker  1 , Jacqueline Batley, Helen O' Sullivan, Keith J Edwards, David Edwards
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Redundancy based detection of sequence polymorphisms in expressed sequence tag data using autoSNP

Gary Barker et al. Bioinformatics. .

Abstract

AutoSNP is a program to detect single nucleotide polymorphisms (SNPs) and insertion/deletion polymorphisms (indels) in expressed sequence tag (EST) data. The program uses d2cluster and cap3 to cluster and align EST sequences, and uses redundancy to differentiate between candidate SNPs and sequence errors. Candidate polymorphisms are identified as occurring in multiple reads within an alignment. For each candidate SNP, two measures of confidence are calculated, the redundancy of the polymorphism at a SNP locus and the co segregation of the candidate SNP with other SNPs in the alignment.

Availability: The program was written in PERL and is freely available to non-commercial users by request from the authors.

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