title: Algorithms for identifying local molecular sequence features.
abstract: Efficient algorithms are described for identifying local molecular sequence features including repeats, dyad symmetry pairings and aligned matches between sequences, while allowing for errors. Specific applications are given to the genomic sequences of the Epstein-Barr virus, Varicella-Zoster virus and the bacteriophages lambda and T7.
authors.affiliation: Department of Mathematics, Stanford University, CA 94305.
authors.forename: S
authors.initials: S
authors.lastname: Karlin
authors.forename: M
authors.initials: M
authors.lastname: Morris
authors.forename: G
authors.initials: G
authors.lastname: Ghandour
authors.forename: M Y
authors.initials: MY
authors.lastname: Leung
mesh_terms: D000465:Algorithms; D010582:Bacteriophage lambda / Q000235:genetics; D001483:Base Sequence; D004279:DNA, Viral / Q000235:genetics; D014645:Herpesvirus 3, Human / Q000235:genetics; D004854:Herpesvirus 4, Human / Q000235:genetics; D012091:Repetitive Sequences, Nucleic Acid; D012689:Sequence Homology, Nucleic Acid; D013604:T-Phages / Q000235:genetics
chemical_list: D004279:DNA, Viral