title: An analysis of sequence alignment: heuristic algorithms.
abstract: Sequence alignment becomes challenging with an increase in size and number of sequences. Finding optimal or near optimal solutions for sequence alignment is one of the most important operations in bioinformatics. This study aims to survey heuristics applied for the sequence alignment problem summarized in a time line.
authors.affiliation: Computer Engineering Department, Fatih University, B.Cekmece, Istanbul, Turkey. ibucak@faith.edu.tr
authors.forename: I Ö
authors.initials: IÖ
authors.lastname: Bucak
authors.forename: V
authors.initials: V
authors.lastname: Uslan
mesh_terms: D000465:Algorithms; D010363:Pattern Recognition, Automated / Q000379:methods*; D016415:Sequence Alignment / Q000379:methods*; D017421:Sequence Analysis / Q000379:methods*