Efficient sequential and parallel algorithms for finding edit distance based motifs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Biotechnology
Link
http://link.springer.com/content/pdf/10.1186/s12864-016-2789-9
Reference14 articles.
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3. Nicolae M, Rajasekaran S. Efficient Sequential and Parallel Algorithms for Planted Motif Search. BMC Bioinformatics. 2014; 15(1):34.
4. Tanaka S. Improved Exact Enumerative Algorithms for the Planted (l,d)-motif Search Problem. IEEE/ACM Trans Comput Biol Bioinformatics (TCBB). 2014; 11(2):361–74.
5. Yu Q, Huo H, Zhang Y, Guo H. PairMotif: A new pattern-driven algorithm for planted (l,d) DNA motif search. PloS One. 2012; 7(10):48442.
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1. Trie-PMS8: A trie-tree based robust solution for planted motif search problem;International Journal of Cognitive Computing in Engineering;2024
2. Exploring Scalable Parallelization for Edit Distance-Based Motif Search;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-03-01
3. A Comparative Analysis for Generating Common d-Neighborhood on Planted Motif Search Problem;Intelligent Computing & Optimization;2022-10-21
4. EMS3: An Improved Algorithm for Finding Edit-Distance Based Motifs;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021-01-01
5. LL-PMS8: A time efficient approach to solve planted motif search problem;Journal of King Saud University - Computer and Information Sciences;2020-11
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