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Volumn 6, Issue 9, 2011, Pages

Tree-based position weight matrix approach to model transcription factor binding site profiles

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTION FACTOR;

EID: 80052401846     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0024210     Document Type: Article
Times cited : (19)

References (45)
  • 1
    • 70349312354 scopus 로고    scopus 로고
    • ChIP-seq: advantages and challenges of a maturing technology
    • Park PJ, (2009) ChIP-seq: advantages and challenges of a maturing technology. Nat Rev Genet 10: 669-680.
    • (2009) Nat Rev Genet , vol.10 , pp. 669-680
    • Park, P.J.1
  • 2
    • 21144439147 scopus 로고    scopus 로고
    • Assessing computational tools for the discovery of transcription factor binding sites
    • Tompa M, Li N, Bailey TL, Church GM, De Moor B, et al. (2005) Assessing computational tools for the discovery of transcription factor binding sites. Nat Biotechnol 23: 137-144.
    • (2005) Nat Biotechnol , vol.23 , pp. 137-144
    • Tompa, M.1    Li, N.2    Bailey, T.L.3    Church, G.M.4    de Moor, B.5
  • 3
    • 1842584947 scopus 로고    scopus 로고
    • Applied bioinformatics for the identification of regulatory elements
    • Wasserman WW, Sandelin A, (2004) Applied bioinformatics for the identification of regulatory elements. Nat Rev Genet 5: 276-287.
    • (2004) Nat Rev Genet , vol.5 , pp. 276-287
    • Wasserman, W.W.1    Sandelin, A.2
  • 4
    • 34247579156 scopus 로고    scopus 로고
    • A survey of motif discovery methods in an integrated framework
    • Sandve GK, Drablos F, (2006) A survey of motif discovery methods in an integrated framework. Biol Direct 1: 11.
    • (2006) Biol Direct , vol.1 , pp. 11
    • Sandve, G.K.1    Drablos, F.2
  • 5
    • 44349109637 scopus 로고    scopus 로고
    • Eukaryotic transcription factor binding sites--modeling and integrative search methods
    • Hannenhalli S, (2008) Eukaryotic transcription factor binding sites--modeling and integrative search methods. Bioinformatics 24: 1325-1331.
    • (2008) Bioinformatics , vol.24 , pp. 1325-1331
    • Hannenhalli, S.1
  • 6
    • 70349623317 scopus 로고    scopus 로고
    • Identifying regulatory elements in eukaryotic genomes
    • Narlikar L, Ovcharenko I, (2009) Identifying regulatory elements in eukaryotic genomes. Brief Funct Genomic Proteomic 8: 215-230.
    • (2009) Brief Funct Genomic Proteomic , vol.8 , pp. 215-230
    • Narlikar, L.1    Ovcharenko, I.2
  • 7
    • 0028685490 scopus 로고
    • Fitting a mixture model by expectation maximization to discover motifs in biopolymers
    • Bailey TL, Elkan C, (1994) Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Proc Int Conf Intell Syst Mol Biol 2: 28-36.
    • (1994) Proc Int Conf Intell Syst Mol Biol , vol.2 , pp. 28-36
    • Bailey, T.L.1    Elkan, C.2
  • 8
    • 0027912333 scopus 로고
    • Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment
    • Lawrence CE, Altschul SF, Boguski MS, Liu JS, Neuwald AF, et al. (1993) Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment. Science 262: 208-214.
    • (1993) Science , vol.262 , pp. 208-214
    • Lawrence, C.E.1    Altschul, S.F.2    Boguski, M.S.3    Liu, J.S.4    Neuwald, A.F.5
  • 9
    • 0032483307 scopus 로고    scopus 로고
    • Extracting regulatory sites from the upstream region of yeast genes by computational analysis of oligonucleotide frequencies
    • van Helden J, Andre B, Collado-Vides J, (1998) Extracting regulatory sites from the upstream region of yeast genes by computational analysis of oligonucleotide frequencies. J Mol Biol 281: 827-842.
    • (1998) J Mol Biol , vol.281 , pp. 827-842
    • van Helden, J.1    Andre, B.2    Collado-Vides, J.3
  • 10
    • 3242884167 scopus 로고    scopus 로고
    • Weeder Web: discovery of transcription factor binding sites in a set of sequences from co-regulated genes
    • Pavesi G, Mereghetti P, Mauri G, Pesole G, (2004) Weeder Web: discovery of transcription factor binding sites in a set of sequences from co-regulated genes. Nucleic Acids Res 32: W199-203.
    • (2004) Nucleic Acids Res , vol.32
    • Pavesi, G.1    Mereghetti, P.2    Mauri, G.3    Pesole, G.4
  • 11
    • 0035187203 scopus 로고    scopus 로고
    • Combining frequency and positional information to predict transcription factor binding sites
    • Kielbasa SM, Korbel JO, Beule D, Schuchhardt J, Herzel H, (2001) Combining frequency and positional information to predict transcription factor binding sites. Bioinformatics 17: 1019-1026.
    • (2001) Bioinformatics , vol.17 , pp. 1019-1026
    • Kielbasa, S.M.1    Korbel, J.O.2    Beule, D.3    Schuchhardt, J.4    Herzel, H.5
  • 12
  • 13
    • 50949097456 scopus 로고    scopus 로고
    • A feature-based approach to modeling protein-DNA interactions
    • Sharon E, Lubliner S, Segal E, (2008) A feature-based approach to modeling protein-DNA interactions. PLoS Comput Biol 4: e1000154.
    • (2008) PLoS Comput Biol , vol.4
    • Sharon, E.1    Lubliner, S.2    Segal, E.3
  • 14
    • 0036493201 scopus 로고    scopus 로고
    • Nucleotides of transcription factor binding sites exert interdependent effects on the binding affinities of transcription factors
    • Bulyk ML, Johnson PL, Church GM, (2002) Nucleotides of transcription factor binding sites exert interdependent effects on the binding affinities of transcription factors. Nucleic Acids Res 30: 1255-1261.
    • (2002) Nucleic Acids Res , vol.30 , pp. 1255-1261
    • Bulyk, M.L.1    Johnson, P.L.2    Church, G.M.3
  • 16
    • 25444517056 scopus 로고    scopus 로고
    • MAPPER: a search engine for the computational identification of putative transcription factor binding sites in multiple genomes
    • Marinescu VD, Kohane IS, Riva A, (2005) MAPPER: a search engine for the computational identification of putative transcription factor binding sites in multiple genomes. BMC Bioinformatics 6: 79.
    • (2005) BMC Bioinformatics , vol.6 , pp. 79
    • Marinescu, V.D.1    Kohane, I.S.2    Riva, A.3
  • 17
    • 77955869106 scopus 로고    scopus 로고
    • Inclusion of neighboring base interdependencies substantially improves genome-wide prokaryotic transcription factor binding site prediction
    • Salama RA, Stekel DJ, (2010) Inclusion of neighboring base interdependencies substantially improves genome-wide prokaryotic transcription factor binding site prediction. Nucleic Acids Res.
    • (2010) Nucleic Acids Res
    • Salama, R.A.1    Stekel, D.J.2
  • 18
    • 33644771367 scopus 로고    scopus 로고
    • Context dependent models for discovery of transcription factor binding sites
    • Wang C, Xie J, Craig BA, (2006) Context dependent models for discovery of transcription factor binding sites. Statistical Methodology 3: 55-68.
    • (2006) Statistical Methodology , vol.3 , pp. 55-68
    • Wang, C.1    Xie, J.2    Craig, B.A.3
  • 19
    • 34249654609 scopus 로고    scopus 로고
    • Position dependencies in transcription factor binding sites
    • Tomovic A, Oakeley EJ, (2007) Position dependencies in transcription factor binding sites. Bioinformatics 23: 933-941.
    • (2007) Bioinformatics , vol.23 , pp. 933-941
    • Tomovic, A.1    Oakeley, E.J.2
  • 20
    • 0242424698 scopus 로고    scopus 로고
    • Identifying transcription factor binding sites through Markov chain optimization
    • Ellrott K, Yang C, Sladek FM, Jiang T, (2002) Identifying transcription factor binding sites through Markov chain optimization. Bioinformatics 18 (Suppl 2): S100-109.
    • (2002) Bioinformatics , vol.18 , Issue.SUPPL. 2
    • Ellrott, K.1    Yang, C.2    Sladek, F.M.3    Jiang, T.4
  • 21
    • 0031586003 scopus 로고    scopus 로고
    • Prediction of complete gene structures in human genomic DNA
    • Burge C, Karlin S, (1997) Prediction of complete gene structures in human genomic DNA. J Mol Biol 268: 78-94.
    • (1997) J Mol Biol , vol.268 , pp. 78-94
    • Burge, C.1    Karlin, S.2
  • 22
    • 23844463779 scopus 로고    scopus 로고
    • Finding short DNA motifs using permuted Markov models
    • Zhao X, Huang H, Speed TP, (2005) Finding short DNA motifs using permuted Markov models. J Comput Biol 12: 894-906.
    • (2005) J Comput Biol , vol.12 , pp. 894-906
    • Zhao, X.1    Huang, H.2    Speed, T.P.3
  • 24
    • 2342445980 scopus 로고    scopus 로고
    • Modeling within-motif dependence for transcription factor binding site predictions
    • Zhou Q, Liu JS, (2004) Modeling within-motif dependence for transcription factor binding site predictions. Bioinformatics 20: 909-916.
    • (2004) Bioinformatics , vol.20 , pp. 909-916
    • Zhou, Q.1    Liu, J.S.2
  • 25
    • 0141974916 scopus 로고    scopus 로고
    • A non-parametric model for transcription factor binding sites
    • King OD, Roth FP, (2003) A non-parametric model for transcription factor binding sites. Nucleic Acids Res 31: e116.
    • (2003) Nucleic Acids Res , vol.31
    • King, O.D.1    Roth, F.P.2
  • 26
    • 66449114042 scopus 로고    scopus 로고
    • Functional diversity for REST (NRSF) is defined by in vivo binding affinity hierarchies at the DNA sequence level
    • Bruce AW, Lopez-Contreras AJ, Flicek P, Down TA, Dhami P, et al. (2009) Functional diversity for REST (NRSF) is defined by in vivo binding affinity hierarchies at the DNA sequence level. Genome Res 19: 994-1005.
    • (2009) Genome Res , vol.19 , pp. 994-1005
    • Bruce, A.W.1    Lopez-Contreras, A.J.2    Flicek, P.3    Down, T.A.4    Dhami, P.5
  • 27
    • 29144484156 scopus 로고    scopus 로고
    • Enhanced position weight matrices using mixture models
    • Hannenhalli S, Wang LS, (2005) Enhanced position weight matrices using mixture models. Bioinformatics 21 (Suppl 1): i204-212.
    • (2005) Bioinformatics , vol.21 , Issue.SUPPL. 1
    • Hannenhalli, S.1    Wang, L.S.2
  • 28
    • 33747885371 scopus 로고    scopus 로고
    • Context-specific independence mixture modeling for positional weight matrices
    • Georgi B, Schliep A, (2006) Context-specific independence mixture modeling for positional weight matrices. Bioinformatics 22: e166-173.
    • (2006) Bioinformatics , vol.22
    • Georgi, B.1    Schliep, A.2
  • 30
    • 77950640840 scopus 로고    scopus 로고
    • Analyzing 'omics data using hierarchical models
    • Ji H, Liu XS, (2010) Analyzing 'omics data using hierarchical models. Nat Biotechnol 28: 337-340.
    • (2010) Nat Biotechnol , vol.28 , pp. 337-340
    • Ji, H.1    Liu, X.S.2
  • 31
    • 52649132425 scopus 로고    scopus 로고
    • Genome-wide identification of in vivo protein-DNA binding sites from ChIP-Seq data
    • Jothi R, Cuddapah S, Barski A, Cui K, Zhao K, (2008) Genome-wide identification of in vivo protein-DNA binding sites from ChIP-Seq data. Nucleic Acids Research 36: 5221-5231.
    • (2008) Nucleic Acids Research , vol.36 , pp. 5221-5231
    • Jothi, R.1    Cuddapah, S.2    Barski, A.3    Cui, K.4    Zhao, K.5
  • 32
    • 77949916244 scopus 로고    scopus 로고
    • On the detection and refinement of transcription factor binding sites using ChIP-Seq data
    • Hu M, Yu J, Taylor JM, Chinnaiyan AM, Qin ZS, (2010) On the detection and refinement of transcription factor binding sites using ChIP-Seq data. Nucleic Acids Res 38: 2154-2167.
    • (2010) Nucleic Acids Res , vol.38 , pp. 2154-2167
    • Hu, M.1    Yu, J.2    Taylor, J.M.3    Chinnaiyan, A.M.4    Qin, Z.S.5
  • 34
    • 77349099959 scopus 로고    scopus 로고
    • Variable structure motifs for transcription factor binding sites
    • Reid JE, Evans KJ, Dyer N, Wernisch L, Ott S, (2010) Variable structure motifs for transcription factor binding sites. BMC Genomics 11: 30.
    • (2010) BMC Genomics , vol.11 , pp. 30
    • Reid, J.E.1    Evans, K.J.2    Dyer, N.3    Wernisch, L.4    Ott, S.5
  • 35
    • 46049087782 scopus 로고    scopus 로고
    • The TRANSFAC project as an example of framework technology that supports the analysis of genomic regulation
    • Wingender E, (2008) The TRANSFAC project as an example of framework technology that supports the analysis of genomic regulation. Brief Bioinform 9: 326-332.
    • (2008) Brief Bioinform , vol.9 , pp. 326-332
    • Wingender, E.1
  • 36
    • 38549096565 scopus 로고    scopus 로고
    • JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update
    • Bryne JC, Valen E, Tang MH, Marstrand T, Winther O, et al. (2008) JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update. Nucleic Acids Res 36: D102-106.
    • (2008) Nucleic Acids Res , vol.36
    • Bryne, J.C.1    Valen, E.2    Tang, M.H.3    Marstrand, T.4    Winther, O.5
  • 37
    • 71549150896 scopus 로고    scopus 로고
    • DISPARE: DIScriminative PAttern REfinement for Position Weight Matrices
    • da Piedade I, Tang MH, Elemento O, (2009) DISPARE: DIScriminative PAttern REfinement for Position Weight Matrices. BMC Bioinformatics 10: 388.
    • (2009) BMC Bioinformatics , vol.10 , pp. 388
    • da Piedade, I.1    Tang, M.H.2    Elemento, O.3
  • 38
    • 0036324753 scopus 로고    scopus 로고
    • An algorithm for finding protein-DNA binding sites with applications to chromatin-immunoprecipitation microarray experiments
    • Liu XS, Brutlag DL, Liu JS, (2002) An algorithm for finding protein-DNA binding sites with applications to chromatin-immunoprecipitation microarray experiments. Nat Biotechnol 20: 835-839.
    • (2002) Nat Biotechnol , vol.20 , pp. 835-839
    • Liu, X.S.1    Brutlag, D.L.2    Liu, J.S.3
  • 39
    • 0025008168 scopus 로고
    • Sequence logos: a new way to display consensus sequences
    • Schneider TD, Stephens RM, (1990) Sequence logos: a new way to display consensus sequences. Nucleic Acids Res 18: 6097-6100.
    • (1990) Nucleic Acids Res , vol.18 , pp. 6097-6100
    • Schneider, T.D.1    Stephens, R.M.2
  • 41
    • 34250159524 scopus 로고    scopus 로고
    • Genome-wide mapping of in vivo protein-DNA interactions
    • Johnson DS, Mortazavi A, Myers RM, Wold B, (2007) Genome-wide mapping of in vivo protein-DNA interactions. Science 316: 1497-1502.
    • (2007) Science , vol.316 , pp. 1497-1502
    • Johnson, D.S.1    Mortazavi, A.2    Myers, R.M.3    Wold, B.4
  • 42
    • 34249026300 scopus 로고    scopus 로고
    • High-resolution profiling of histone methylations in the human genome
    • Barski A, Cuddapah S, Cui K, Roh TY, Schones DE, et al. (2007) High-resolution profiling of histone methylations in the human genome. Cell 129: 823-837.
    • (2007) Cell , vol.129 , pp. 823-837
    • Barski, A.1    Cuddapah, S.2    Cui, K.3    Roh, T.Y.4    Schones, D.E.5
  • 43
    • 0035958045 scopus 로고    scopus 로고
    • Repressor element silencing transcription factor/neuron-restrictive silencing factor (REST/NRSF) can act as an enhancer as well as a repressor of corticotropin-releasing hormone gene transcription
    • Seth KA, Majzoub JA, (2001) Repressor element silencing transcription factor/neuron-restrictive silencing factor (REST/NRSF) can act as an enhancer as well as a repressor of corticotropin-releasing hormone gene transcription. J Biol Chem 276: 13917-13923.
    • (2001) J Biol Chem , vol.276 , pp. 13917-13923
    • Seth, K.A.1    Majzoub, J.A.2
  • 44
    • 76249107162 scopus 로고    scopus 로고
    • CTCF binding site classes exhibit distinct evolutionary, genomic, epigenomic and transcriptomic features
    • Essien K, Vigneau S, Apreleva S, Singh LN, Bartolomei MS, et al. (2009) CTCF binding site classes exhibit distinct evolutionary, genomic, epigenomic and transcriptomic features. Genome Biol 10: R131.
    • (2009) Genome Biol , vol.10
    • Essien, K.1    Vigneau, S.2    Apreleva, S.3    Singh, L.N.4    Bartolomei, M.S.5
  • 45
    • 2442691539 scopus 로고    scopus 로고
    • A global view of the selection forces in the evolution of yeast cis-regulation
    • Tanay A, Gat-Viks I, Shamir R, (2004) A global view of the selection forces in the evolution of yeast cis-regulation. Genome Res 14: 829-834.
    • (2004) Genome Res , vol.14 , pp. 829-834
    • Tanay, A.1    Gat-Viks, I.2    Shamir, R.3


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