☆ 4.7 Article

SEAN: SNP prediction and display program utilizing EST sequence clusters

BIOINFORMATICS (2006)

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Journal

BIOINFORMATICS
Volume 22, Issue 4, Pages 495-496

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btk006

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Categories

Biochemical Research Methods Biotechnology & Applied Microbiology Computer Science, Interdisciplinary Applications Mathematical & Computational Biology Statistics & Probability

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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.

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