title: ThurGood: evaluating assembly-to-assembly mapping.
abstract: The alignment and mapping of large genomic sequences is the focus of much recent research. However, relatively little has been done so far about testing and validating alignment methods. We introduce criteria and new tools we have developed for alignment evaluation. These tools have already proved useful in the evaluation and ranking of several methods for assembly-to-assembly mapping, which were recently used to map multiple versions of the human genome to each other (Istrail et aL, 2004).
authors.affiliation: School of Computing, Queen's University, Kingston, Ontario, Canada. shatkay@cs.queensu.ca
authors.forename: Hagit
authors.initials: H
authors.lastname: Shatkay
authors.forename: Jason
authors.initials: J
authors.lastname: Miller
authors.forename: Clark
authors.initials: C
authors.lastname: Mobarry
authors.forename: Michael
authors.initials: M
authors.lastname: Flanigan
authors.forename: Shibu
authors.initials: S
authors.lastname: Yooseph
authors.forename: Granger
authors.initials: G
authors.lastname: Sutton
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D001483:Base Sequence; D019295:Computational Biology; D003198:Computer Simulation; D008390:Markov Chains; D009154:Mutation; D011506:Proteins / Q000737:chemistry / Q000235:genetics*; D016415:Sequence Alignment; D012984:Software
chemical_list: D011506:Proteins