A Comparative Analysis for Generating Common d-Neighborhood on Planted Motif Search Problem
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-19958-5_78
Reference28 articles.
1. Bandyopadhyay, S., Sahni, S., Rajasekaran, S.: PMS6: A fast algorithm for motif discovery. In: 2012 EEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012 (2012). https://doi.org/10.1109/ICCABS.2012.6182627
2. Buhler, J., Tompa, M.: Finding motifs using random projections. J. Comput. Biol. 9(2), 225–242 (2002). https://doi.org/10.1089/10665270252935430
3. Davila, J., Balla, S., Rajasekaran, S.: Fast and practical algorithms for planted (l, d) motif search. In: EEE/ACM Transactions on Computational Biology and Bioinformatics (2007). https://doi.org/10.1109/TCBB.2007.70241
4. Dinh, H., Rajasekaran, S., Davila, J.: qPMS7: a fast algorithm for finding (ℓ, d)-motifs in DNA and protein sequences. PLoS ONE 7, 1–8 (2012). https://doi.org/10.1371/journal.pone.0041425
5. Dinh, H., Rajasekaran, S., Kundeti, V.K.: PMS5: an efficient exact algorithm for the (ℓ, d)-motif finding problem. BMC Bioinform. 12, 410 (2011). https://doi.org/10.1186/1471-2105-12-410
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