| Literature DB >> 2165832 |
O Gotoh1.
Abstract
A new algorithm for optimal sequence alignment allowing for long insertions and deletions is developed. The algorithm requires O((L+C)MN) computational steps, O(LN) primary memory and O(MN) secondary memory storage, where M and N(M greater than or equal to N) are sequence lengths, L(typically L less than or greater than 3) is the number of segment specifying the gap weighting function, and C is a constant. We have also modified our earlier traceback algorithm so that it finds all and and only the optimal alignments in a compact form of a directed graph. The current versions accept a set of aligned sequences as input, which facilitates multiple sequence alignment by some iterative procedures.Mesh:
Substances:
Year: 1990 PMID: 2165832 DOI: 10.1007/BF02458577
Source DB: PubMed Journal: Bull Math Biol ISSN: 0092-8240 Impact factor: 1.758