135 related articles for article (PubMed ID: 26356863)
1. Mining Conditional Phosphorylation Motifs.
Liu X; Wu J; Gong H; Deng S; He Z
IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(5):915-27. PubMed ID: 26356863
[TBL] [Abstract][Full Text] [Related]
2. Motif-All: discovering all phosphorylation motifs.
He Z; Yang C; Guo G; Li N; Yu W
BMC Bioinformatics; 2011 Feb; 12 Suppl 1(Suppl 1):S22. PubMed ID: 21342552
[TBL] [Abstract][Full Text] [Related]
3. An Efficient Exact Algorithm for the Motif Stem Search Problem over Large Alphabets.
Yu Q; Huo H; Vitter JS; Huan J; Nekrich Y
IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(2):384-97. PubMed ID: 26357225
[TBL] [Abstract][Full Text] [Related]
4. Discovering sequence motifs.
Bailey TL
Methods Mol Biol; 2008; 452():231-51. PubMed ID: 18566768
[TBL] [Abstract][Full Text] [Related]
5. Detection of generic spaced motifs using submotif pattern mining.
Wijaya E; Rajaraman K; Yiu SM; Sung WK
Bioinformatics; 2007 Jun; 23(12):1476-85. PubMed ID: 17483509
[TBL] [Abstract][Full Text] [Related]
6. TrieAMD: a scalable and efficient apriori motif discovery approach.
Al-Turaiki I; Badr G; Mathkour H
Int J Data Min Bioinform; 2015; 13(1):13-30. PubMed ID: 26529905
[TBL] [Abstract][Full Text] [Related]
7. Discovering Motifs in Biological Sequences Using the Micron Automata Processor.
Roy I; Aluru S
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(1):99-111. PubMed ID: 26886735
[TBL] [Abstract][Full Text] [Related]
8. EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences.
Hu J; Yang YD; Kihara D
BMC Bioinformatics; 2006 Jul; 7():342. PubMed ID: 16839417
[TBL] [Abstract][Full Text] [Related]
9. ARCS-Motif: discovering correlated motifs from unaligned biological sequences.
Zhang S; Su W; Yang J
Bioinformatics; 2009 Jan; 25(2):183-9. PubMed ID: 19073591
[TBL] [Abstract][Full Text] [Related]
10. Discovering interesting motif-sets for multi-class protein sequence classification.
Ma PC; Chan KC
J Comput Biol; 2010 May; 17(5):733-43. PubMed ID: 20500024
[TBL] [Abstract][Full Text] [Related]
11. Discovery of protein phosphorylation motifs through exploratory data analysis.
Chen YC; Aguan K; Yang CW; Wang YT; Pal NR; Chung IF
PLoS One; 2011; 6(5):e20025. PubMed ID: 21647451
[TBL] [Abstract][Full Text] [Related]
12. An iterative statistical approach to the identification of protein phosphorylation motifs from large-scale data sets.
Schwartz D; Gygi SP
Nat Biotechnol; 2005 Nov; 23(11):1391-8. PubMed ID: 16273072
[TBL] [Abstract][Full Text] [Related]
13. MMFPh: a maximal motif finder for phosphoproteomics datasets.
Wang T; Kettenbach AN; Gerber SA; Bailey-Kellogg C
Bioinformatics; 2012 Jun; 28(12):1562-70. PubMed ID: 22531218
[TBL] [Abstract][Full Text] [Related]
14. Improved Exact Enumerative Algorithms for the Planted (l, d)-Motif Search Problem.
Tanaka S
IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(2):361-74. PubMed ID: 26355783
[TBL] [Abstract][Full Text] [Related]
15. NSAMD: A new approach to discover structured contiguous substrings in sequence datasets using Next-Symbol-Array.
Pari A; Baraani A; Parseh S
Comput Biol Chem; 2016 Oct; 64():384-395. PubMed ID: 27620380
[TBL] [Abstract][Full Text] [Related]
16. Discovery of phosphorylation motif mixtures in phosphoproteomics data.
Ritz A; Shakhnarovich G; Salomon AR; Raphael BJ
Bioinformatics; 2009 Jan; 25(1):14-21. PubMed ID: 18996944
[TBL] [Abstract][Full Text] [Related]
17. Efficient sequential and parallel algorithms for finding edit distance based motifs.
Pal S; Xiao P; Rajasekaran S
BMC Genomics; 2016 Aug; 17 Suppl 4(Suppl 4):465. PubMed ID: 27557423
[TBL] [Abstract][Full Text] [Related]
18. SLIDER: a generic metaheuristic for the discovery of correlated motifs in protein-protein interaction networks.
Boyen P; Van Dyck D; Neven F; van Ham RC; van Dijk AD
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(5):1344-57. PubMed ID: 21282865
[TBL] [Abstract][Full Text] [Related]
19. Efficient motif finding algorithms for large-alphabet inputs.
Kuksa PP; Pavlovic V
BMC Bioinformatics; 2010 Oct; 11 Suppl 8(Suppl 8):S1. PubMed ID: 21034426
[TBL] [Abstract][Full Text] [Related]
20. EMS3: An Improved Algorithm for Finding Edit-Distance Based Motifs.
Xiao P; Cai X; Rajasekaran S
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(1):27-37. PubMed ID: 32931433
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
