Novel algorithms for LDD motif search
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Biotechnology
Link
http://link.springer.com/content/pdf/10.1186/s12864-019-5701-6.pdf
Reference18 articles.
1. Pal S, Xiao P, Rajasekaran S. Efficient sequential and parallel algorithms for finding edit distance based motifs. BMC Genom. 2016; 17(4):465.
2. Xiao P, Rajasekaran S. Efficient exact algorithms for LDD motif search. In: 2017 IEEE 7th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). IEEE: 2017. p. 1–1.
3. Xiao P, Pal S, Rajasekaran S. qPMS10: A randomized algorithm for efficiently solving quorum planted motif search problem. In: 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE: 2016. p. 670–5.
4. Xiao P, Pal S, Rajasekaran S. Randomised sequential and parallel algorithms for efficient quorum planted motif search. Int J Data Min Bioinforma. 2017; 18(2):105–24.
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. Uncovering domain motif interactions using high‐throughput protein–protein interaction detection methods;FEBS Letters;2024-03-05
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