SEAN: SNP prediction and display program utilizing EST sequence clusters
نویسندگان
چکیده
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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ورودعنوان ژورنال:
- Bioinformatics
دوره 22 4 شماره
صفحات -
تاریخ انتشار 2006