肖恩：利用表达序列标签（EST）序列簇的单核苷酸多态性（SNP）预测与显示程序。
SEAN: SNP prediction and display program utilizing EST sequence clusters.
作者信息
Huntley Derek, Baldo Angela, Johri Saurabh, Sergot Marek
机构信息
Centre for Bioinformatics, Division of Molecular Biosciences, Imperial College London, SW7 2AZ, UK.
出版信息
Bioinformatics. 2006 Feb 15;22(4):495-6. doi: 10.1093/bioinformatics/btk006. Epub 2005 Dec 15.
Abstract
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.
摘要
SEAN是一个利用从表达序列标签（EST）簇产生的多序列比对来预测单核苷酸多态性（SNP）的应用程序。该算法使用序列同一性规则和SNP丰度来确定预测的质量。提供了一个Java查看器来显示EST比对和预测的SNP。
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