title: Multiseed lossless filtration.
abstract: We study a method of seed-based lossless filtration for approximate string matching and related bioinformatics applications. The method is based on a simultaneous use of several spaced seeds rather than a single seed as studied by Burkhardt and Kärkkäinen. We present algorithms to compute several important parameters of seed families, study their combinatorial properties, and describe several techniques to construct efficient families. We also report a large-scale application of the proposed technique to the problem of oligonucleotide selection for an EST sequence database.
authors.affiliation: INRIA/LORIA, 615, rue du Jardin Botanique, B.P. 101, 54602 Villers-lès-Nancy, France. Gregory.Kucherov@loria.fr
authors.forename: Gregory
authors.initials: G
authors.lastname: Kucherov
authors.forename: Laurent
authors.initials: L
authors.lastname: Noé
authors.forename: Mikhail
authors.initials: M
authors.lastname: Roytberg
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D020224:Expressed Sequence Tags; D008969:Molecular Sequence Data; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012689:Sequence Homology, Nucleic Acid