title: SEAN: SNP prediction and display program utilizing EST sequence clusters.
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.
authors.affiliation: Centre for Bioinformatics, Division of Molecular Biosciences, Imperial College London, SW7 2AZ, UK. d.huntley@imperial.ac.uk
authors.forename: Derek
authors.initials: D
authors.lastname: Huntley
authors.forename: Angela
authors.initials: A
authors.lastname: Baldo
authors.forename: Saurabh
authors.initials: S
authors.lastname: Johri
authors.forename: Marek
authors.initials: M
authors.lastname: Sergot
mesh_terms: D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods; D016000:Cluster Analysis; D003196:Computer Graphics; D004252:DNA Mutational Analysis / Q000379:methods*; D020224:Expressed Sequence Tags; D010363:Pattern Recognition, Automated / Q000379:methods; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software; D014584:User-Computer Interface