Advertisement
Published in:
2007 | OriginalPaper | Chapter
Improved Algorithms for Inferring the Minimum Mosaic of a Set of Recombinants
Authors : Yufeng Wu, Dan Gusfield
Published in: Combinatorial Pattern Matching
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Detecting historical recombination is an important computational problem which has received great attention recently. Due to recombination, input sequences form a mosaic, where each input sequence is composed of segments from founder sequences. In this paper, we present improved algorithms for the problem of finding the minimum mosaic (a mosaic containing the
fewest
ancestral segments) of a set of recombinant sequences. This problem was first formulated in [15], where an exponential-time algorithm was described. It is also known that a restricted version of this problem (assuming recombination occurs only at predefined block boundaries) can be solved in polynomial time [15, 11]. We give a polynomial-time algorithm for a special case of the minimum (blockless) mosaic problem, and a practical algorithm for the general case. Experiments with our method show that it is practical in a range of data much larger than could be handled by the algorithm described in [15].