ThurGood: evaluating assembly-to-assembly mapping.
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).
Shatkay
Hagit
H
School of Computing, Queen's University, Kingston, Ontario, Canada. shatkay@cs.queensu.ca
Miller
Jason
J
Mobarry
Clark
C
Flanigan
Michael
M
Yooseph
Shibu
S
Sutton
Granger
G
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
D011506:Proteins