title: Near-optimal sequence alignment.
abstract: Recent advances in algorithmic techniques and statistics of sequence alignment have helped to make near-optimal alignments an important tool in the delineation of biologically valid alignments. Near-optimal alignments serve to judge the reliability of portions of a sequence alignment. The statistical assessment of suboptimal alignment scores makes sequence alignments less dependent on gap-penalty choice.
authors.affiliation: Deutsches Krebsforschungszentrum (DKFZ), Abteilung Theoretische Bioinformatik, Heidelberg, Germany. m.vingron@dkfz-heidelberg.de
authors.forename: M
authors.initials: M
authors.lastname: Vingron
mesh_terms: D000465:Algorithms; D007140:Immunoglobulin Fab Fragments / Q000737:chemistry; D007135:Immunoglobulin Variable Region / Q000737:chemistry; D011487:Protein Conformation; D016415:Sequence Alignment
chemical_list: D007140:Immunoglobulin Fab Fragments; D007135:Immunoglobulin Variable Region