Literature DB >> 26355783

Improved Exact Enumerative Algorithms for the Planted (l, d)-Motif Search Problem.

Shunji Tanaka.   

Abstract

In this paper efficient exact algorithms are proposed for the planted ( l, d)-motif search problem. This problem is to find all motifs of length l that are planted in each input string with at most d mismatches. The "quorum" version of this problem is also treated in this paper to find motifs planted not in all input strings but in at least q input strings. The proposed algorithms are based on the previous algorithms called qPMSPruneI and qPMS7 that traverse a search tree starting from a l-length substring of an input string. To improve these previous algorithms, several techniques are introduced, which contribute to reducing the computation time for the traversal. In computational experiments, it will be shown that the proposed algorithms outperform the previous algorithms.

Mesh:

Year:  2014        PMID: 26355783     DOI: 10.1109/TCBB.2014.2306842

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  6 in total

1.  qPMS9: an efficient algorithm for quorum Planted Motif Search.

Authors:  Marius Nicolae; Sanguthevar Rajasekaran
Journal:  Sci Rep       Date:  2015-01-15       Impact factor: 4.379

2.  Efficient sequential and parallel algorithms for finding edit distance based motifs.

Authors:  Soumitra Pal; Peng Xiao; Sanguthevar Rajasekaran
Journal:  BMC Genomics       Date:  2016-08-18       Impact factor: 3.969

3.  An Entropy-Based Position Projection Algorithm for Motif Discovery.

Authors:  Yipu Zhang; Ping Wang; Maode Yan
Journal:  Biomed Res Int       Date:  2016-11-02       Impact factor: 3.411

4.  SamSelect: a sample sequence selection algorithm for quorum planted motif search on large DNA datasets.

Authors:  Qiang Yu; Dingbang Wei; Hongwei Huo
Journal:  BMC Bioinformatics       Date:  2018-06-18       Impact factor: 3.169

5.  RefSelect: a reference sequence selection algorithm for planted (l, d) motif search.

Authors:  Qiang Yu; Hongwei Huo; Ruixing Zhao; Dazheng Feng; Jeffrey Scott Vitter; Jun Huan
Journal:  BMC Bioinformatics       Date:  2016-07-19       Impact factor: 3.169

Review 6.  Review of Different Sequence Motif Finding Algorithms.

Authors:  Fatma A Hashim; Mai S Mabrouk; Walid Al-Atabany
Journal:  Avicenna J Med Biotechnol       Date:  2019 Apr-Jun
  6 in total

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