181 related articles for article (PubMed ID: 23814189)
1. DNA motif elucidation using belief propagation.
Wong KC; Chan TM; Peng C; Li Y; Zhang Z
Nucleic Acids Res; 2013 Sep; 41(16):e153. PubMed ID: 23814189
[TBL] [Abstract][Full Text] [Related]
2. A Comparison Study for DNA Motif Modeling on Protein Binding Microarray.
Wong KC; Li Y; Peng C; Wong HS
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(2):261-71. PubMed ID: 27045826
[TBL] [Abstract][Full Text] [Related]
3. UniPROBE, update 2015: new tools and content for the online database of protein-binding microarray data on protein-DNA interactions.
Hume MA; Barrera LA; Gisselbrecht SS; Bulyk ML
Nucleic Acids Res; 2015 Jan; 43(Database issue):D117-22. PubMed ID: 25378322
[TBL] [Abstract][Full Text] [Related]
4. Alignment-free clustering of transcription factor binding motifs using a genetic-k-medoids approach.
Broin PÓ; Smith TJ; Golden AA
BMC Bioinformatics; 2015 Jan; 16():22. PubMed ID: 25627106
[TBL] [Abstract][Full Text] [Related]
5. BEESEM: estimation of binding energy models using HT-SELEX data.
Ruan S; Swamidass SJ; Stormo GD
Bioinformatics; 2017 Aug; 33(15):2288-2295. PubMed ID: 28379348
[TBL] [Abstract][Full Text] [Related]
6. RankMotif++: a motif-search algorithm that accounts for relative ranks of K-mers in binding transcription factors.
Chen X; Hughes TR; Morris Q
Bioinformatics; 2007 Jul; 23(13):i72-9. PubMed ID: 17646348
[TBL] [Abstract][Full Text] [Related]
7. UniPROBE: an online database of protein binding microarray data on protein-DNA interactions.
Newburger DE; Bulyk ML
Nucleic Acids Res; 2009 Jan; 37(Database issue):D77-82. PubMed ID: 18842628
[TBL] [Abstract][Full Text] [Related]
8. DNA sequence+shape kernel enables alignment-free modeling of transcription factor binding.
Ma W; Yang L; Rohs R; Noble WS
Bioinformatics; 2017 Oct; 33(19):3003-3010. PubMed ID: 28541376
[TBL] [Abstract][Full Text] [Related]
9. Identification of context-dependent motifs by contrasting ChIP binding data.
Mason MJ; Plath K; Zhou Q
Bioinformatics; 2010 Nov; 26(22):2826-32. PubMed ID: 20870645
[TBL] [Abstract][Full Text] [Related]
10. Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data.
Wong KC; Peng C; Li Y
IEEE Trans Cybern; 2017 Feb; 47(2):415-424. PubMed ID: 26887021
[TBL] [Abstract][Full Text] [Related]
11. Binding site discovery from nucleic acid sequences by discriminative learning of hidden Markov models.
Maaskola J; Rajewsky N
Nucleic Acids Res; 2014 Dec; 42(21):12995-3011. PubMed ID: 25389269
[TBL] [Abstract][Full Text] [Related]
12. Heterodimeric DNA motif synthesis and validations.
Wong KC; Lin J; Li X; Lin Q; Liang C; Song YQ
Nucleic Acids Res; 2019 Feb; 47(4):1628-1636. PubMed ID: 30590725
[TBL] [Abstract][Full Text] [Related]
13. SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles.
Wong KC; Li Y; Peng C; Zhang Z
Bioinformatics; 2015 Jan; 31(1):17-24. PubMed ID: 25192742
[TBL] [Abstract][Full Text] [Related]
14. OHMM: a Hidden Markov Model accurately predicting the occupancy of a transcription factor with a self-overlapping binding motif.
Drawid A; Gupta N; Nagaraj VH; Gélinas C; Sengupta AM
BMC Bioinformatics; 2009 Jul; 10():208. PubMed ID: 19583839
[TBL] [Abstract][Full Text] [Related]
15. A general approach for discriminative de novo motif discovery from high-throughput data.
Grau J; Posch S; Grosse I; Keilwagen J
Nucleic Acids Res; 2013 Nov; 41(21):e197. PubMed ID: 24057214
[TBL] [Abstract][Full Text] [Related]
16. PscanChIP: Finding over-represented transcription factor-binding site motifs and their correlations in sequences from ChIP-Seq experiments.
Zambelli F; Pesole G; Pavesi G
Nucleic Acids Res; 2013 Jul; 41(Web Server issue):W535-43. PubMed ID: 23748563
[TBL] [Abstract][Full Text] [Related]
17. Assessment of algorithms for inferring positional weight matrix motifs of transcription factor binding sites using protein binding microarray data.
Orenstein Y; Linhart C; Shamir R
PLoS One; 2012; 7(9):e46145. PubMed ID: 23029415
[TBL] [Abstract][Full Text] [Related]
18. Motif finding in DNA sequences based on skipping nonconserved positions in background Markov chains.
Zhao X; Sze SH
J Comput Biol; 2011 May; 18(5):759-70. PubMed ID: 21554019
[TBL] [Abstract][Full Text] [Related]
19. A Monte Carlo-based framework enhances the discovery and interpretation of regulatory sequence motifs.
Seitzer P; Wilbanks EG; Larsen DJ; Facciotti MT
BMC Bioinformatics; 2012 Nov; 13():317. PubMed ID: 23181585
[TBL] [Abstract][Full Text] [Related]
20. Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data.
Eggeling R; Roos T; Myllymäki P; Grosse I
BMC Bioinformatics; 2015 Nov; 16():375. PubMed ID: 26552868
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
