SEAN: SNP prediction and display program utilizing EST sequence clusters
Open Access
- 15 December 2005
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 22 (4) , 495-496
- https://doi.org/10.1093/bioinformatics/btk006
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. Availability: SEAN is freely available from Contact:d.huntley@imperial.ac.ukKeywords
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