181 related articles for article (PubMed ID: 23814189)
61. DECOD: fast and accurate discriminative DNA motif finding.
Huggins P; Zhong S; Shiff I; Beckerman R; Laptenko O; Prives C; Schulz MH; Simon I; Bar-Joseph Z
Bioinformatics; 2011 Sep; 27(17):2361-7. PubMed ID: 21752801
[TBL] [Abstract][Full Text] [Related]
62. A single ChIP-seq dataset is sufficient for comprehensive analysis of motifs co-occurrence with MCOT package.
Levitsky V; Zemlyanskaya E; Oshchepkov D; Podkolodnaya O; Ignatieva E; Grosse I; Mironova V; Merkulova T
Nucleic Acids Res; 2019 Dec; 47(21):e139. PubMed ID: 31750523
[TBL] [Abstract][Full Text] [Related]
63. Informative priors based on transcription factor structural class improve de novo motif discovery.
Narlikar L; Gordân R; Ohler U; Hartemink AJ
Bioinformatics; 2006 Jul; 22(14):e384-92. PubMed ID: 16873497
[TBL] [Abstract][Full Text] [Related]
64. Training HMM structure with genetic algorithm for biological sequence analysis.
Won KJ; Prügel-Bennett A; Krogh A
Bioinformatics; 2004 Dec; 20(18):3613-9. PubMed ID: 15297297
[TBL] [Abstract][Full Text] [Related]
65. Sequential Integration of Fuzzy Clustering and Expectation Maximization for Transcription Factor Binding Site Identification.
Yousefian-Jazi A; Choi J
J Comput Biol; 2018 Nov; 25(11):1247-1256. PubMed ID: 30133315
[TBL] [Abstract][Full Text] [Related]
66. [Integration of data obtained by different experimental methods to determine the motifs in DNA sequences recognized by transcription-regulating factors].
Kulakovskiĭ IV; Makeev VIu
Biofizika; 2009; 54(6):965-74. PubMed ID: 20067172
[TBL] [Abstract][Full Text] [Related]
67. A learning method of hidden Markov models for sequence discrimination.
Mamitsuka H
J Comput Biol; 1996; 3(3):361-73. PubMed ID: 8891955
[TBL] [Abstract][Full Text] [Related]
68. Optimally choosing PWM motif databases and sequence scanning approaches based on ChIP-seq data.
Dabrowski M; Dojer N; Krystkowiak I; Kaminska B; Wilczynski B
BMC Bioinformatics; 2015 May; 16():140. PubMed ID: 25927199
[TBL] [Abstract][Full Text] [Related]
69. Stability selection for regression-based models of transcription factor-DNA binding specificity.
Mordelet F; Horton J; Hartemink AJ; Engelhardt BE; Gordân R
Bioinformatics; 2013 Jul; 29(13):i117-25. PubMed ID: 23812975
[TBL] [Abstract][Full Text] [Related]
70. A linear model for transcription factor binding affinity prediction in protein binding microarrays.
Annala M; Laurila K; Lähdesmäki H; Nykter M
PLoS One; 2011; 6(5):e20059. PubMed ID: 21637853
[TBL] [Abstract][Full Text] [Related]
71. A feature-based approach to modeling protein-DNA interactions.
Sharon E; Lubliner S; Segal E
PLoS Comput Biol; 2008 Aug; 4(8):e1000154. PubMed ID: 18725950
[TBL] [Abstract][Full Text] [Related]
72. BEST: binding-site estimation suite of tools.
Che D; Jensen S; Cai L; Liu JS
Bioinformatics; 2005 Jun; 21(12):2909-11. PubMed ID: 15814553
[TBL] [Abstract][Full Text] [Related]
73. A penalized Bayesian approach to predicting sparse protein-DNA binding landscapes.
Levinson M; Zhou Q
Bioinformatics; 2014 Mar; 30(5):636-43. PubMed ID: 24115169
[TBL] [Abstract][Full Text] [Related]
74. Tracking transcription factor complexes on DNA using total internal reflectance fluorescence protein binding microarrays.
Bonham AJ; Neumann T; Tirrell M; Reich NO
Nucleic Acids Res; 2009 Jul; 37(13):e94. PubMed ID: 19487241
[TBL] [Abstract][Full Text] [Related]
75. Context-aware semi-supervised motif detection approach.
Ibrahim R; Ghanem N; Ismail MA
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3953-6. PubMed ID: 25570857
[TBL] [Abstract][Full Text] [Related]
76. Modelling ChIP-seq Data Using HMMs.
Vinciotti V
Methods Mol Biol; 2017; 1552():115-122. PubMed ID: 28224494
[TBL] [Abstract][Full Text] [Related]
77. PhyloGibbs: a Gibbs sampling motif finder that incorporates phylogeny.
Siddharthan R; Siggia ED; van Nimwegen E
PLoS Comput Biol; 2005 Dec; 1(7):e67. PubMed ID: 16477324
[TBL] [Abstract][Full Text] [Related]
78. Varying levels of complexity in transcription factor binding motifs.
Keilwagen J; Grau J
Nucleic Acids Res; 2015 Oct; 43(18):e119. PubMed ID: 26116565
[TBL] [Abstract][Full Text] [Related]
79. Design of shortest double-stranded DNA sequences covering all k-mers with applications to protein-binding microarrays and synthetic enhancers.
Orenstein Y; Shamir R
Bioinformatics; 2013 Jul; 29(13):i71-9. PubMed ID: 23813011
[TBL] [Abstract][Full Text] [Related]
80. Statistical Mechanics of Transcription-Factor Binding Site Discovery Using Hidden Markov Models.
Mehta P; Schwab DJ; Sengupta AM
J Stat Phys; 2011 Apr; 142(6):1187-1205. PubMed ID: 22851788
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
