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SEAN: SNP prediction and display program utilizing EST sequence clusters

Bioinformatics (2006) 22(4) 495-496
DOI: 10.1093/bioinformatics/btk006
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Abstract

Summary: SEAN is an application that predicts single nucleotide polymorphisms (SNPs) using multiple sequence alignments produced from expressed sequence tag (EST) clusters. The algorithm uses rules of sequence identity and SNP abundance to determine the quality of the prediction. A Java viewer is provided to display the EST alignments and predicted SNPs. © The Author 2005. Published by Oxford University Press. All rights reserved.

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Huntley, D., Baldo, A., Johri, S., & Sergot, M. (2006). SEAN: SNP prediction and display program utilizing EST sequence clusters. Bioinformatics, 22(4), 495–496. https://doi.org/10.1093/bioinformatics/btk006

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