메뉴 건너뛰기




Volumn 67, Issue 1, 2011, Pages 151-163

PICS: Probabilistic Inference for ChIP-seq

Author keywords

Bayesian hierarchical model; ChIP seq; EM algorithm; Mappability; Missing values; Mixture model; T distribution; Transcription factor; Truncated data

Indexed keywords

BINDING SITES; CELL CULTURE; HIERARCHICAL SYSTEMS; INFERENCE ENGINES; PROBABILITY DISTRIBUTIONS; TRANSCRIPTION; UNCERTAINTY ANALYSIS;

EID: 79952602025     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2010.01441.x     Document Type: Article
Times cited : (51)

References (36)
  • 2
    • 1242316281 scopus 로고    scopus 로고
    • ChIP-chip: Considerations for the design, analysis, and application of genome-wide chromatin immunoprecipitation experiments
    • Buck, M. J. and Lieb, J. D. (2004). ChIP-chip: Considerations for the design, analysis, and application of genome-wide chromatin immunoprecipitation experiments. Genomics 83, 349-360.
    • (2004) Genomics , vol.83 , pp. 349-360
    • Buck, M.J.1    Lieb, J.D.2
  • 3
    • 3543002856 scopus 로고    scopus 로고
    • Estrogens and progesterone promote persistent CCND1 gene activation during G1 by inducing transcriptional derepression via c-Jun/c-Fos/estrogen receptor (progesterone receptor) complex assembly to a distal regulatory element and recruitment of cyclin D1 to its own gene promoter
    • Cicatiello, L., Addeo, R., Sasso, A., Altucci, L., Petrizzi, V. B., Borgo, R., Cancemi, M., Caporali, S., Caristi, S., Scafoglio, C., Teti, D., Bresciani, F., Perillo, B., and Weisz, A. (2004). Estrogens and progesterone promote persistent CCND1 gene activation during G1 by inducing transcriptional derepression via c-Jun/c-Fos/estrogen receptor (progesterone receptor) complex assembly to a distal regulatory element and recruitment of cyclin D1 to its own gene promoter. Molecular and Cellular Biology 24, 7260-7274.
    • (2004) Molecular and Cellular Biology , vol.24 , pp. 7260-7274
    • Cicatiello, L.1    Addeo, R.2    Sasso, A.3    Altucci, L.4    Petrizzi, V.B.5    Borgo, R.6    Cancemi, M.7    Caporali, S.8    Caristi, S.9    Scafoglio, C.10    Teti, D.11    Bresciani, F.12    Perillo, B.13    Weisz, A.14
  • 5
    • 33645748095 scopus 로고    scopus 로고
    • What are DNA sequence motifs
    • D'haeseleer, P. (2006). What are DNA sequence motifs Nature Biotechnology 24, 423-425.
    • (2006) Nature Biotechnology , vol.24 , pp. 423-425
    • D'haeseleer, P.1
  • 6
    • 33748679908 scopus 로고    scopus 로고
    • A cell-type-specific transcriptional network required for estrogen regulation of cyclin D1 and cell cycle progression in breast cancer
    • Eeckhoute, J., Carroll, J. S., Geistlinger, T. R., Torres-Arzayus, M. I., and Brown, M. (2006). A cell-type-specific transcriptional network required for estrogen regulation of cyclin D1 and cell cycle progression in breast cancer. Genes and Development 20, 2513-2526.
    • (2006) Genes and Development , vol.20 , pp. 2513-2526
    • Eeckhoute, J.1    Carroll, J.S.2    Geistlinger, T.R.3    Torres-Arzayus, M.I.4    Brown, M.5
  • 7
    • 48249140621 scopus 로고    scopus 로고
    • FindPeaks 3.1: A java application for identifying areas of enrichment from massively parallel short-read sequencing technology
    • Fejes, A. P., Robertson, A. G., Bilenky, M. B., Varhol, R., Bainbridge, M. N., and Jones, S. J. (2008). FindPeaks 3.1: A java application for identifying areas of enrichment from massively parallel short-read sequencing technology. Bioinformatics 24, 1729-1730.
    • (2008) Bioinformatics , vol.24 , pp. 1729-1730
    • Fejes, A.P.1    Robertson, A.G.2    Bilenky, M.B.3    Varhol, R.4    Bainbridge, M.N.5    Jones, S.J.6
  • 8
    • 0032269108 scopus 로고    scopus 로고
    • How many clusters? Which clustering method? Answers via model-based cluster analysis
    • Fraley, C. and Raftery, A. E. (1998). How many clusters? Which clustering method? Answers via model-based cluster analysis. Computer Journal 41, 578-588.
    • (1998) Computer Journal , vol.41 , pp. 578-588
    • Fraley, C.1    Raftery, A.E.2
  • 9
    • 36849029089 scopus 로고    scopus 로고
    • Bayesian regularization for Normal mixture estimation and model-based clustering
    • Fraley, C. and Raftery, A. E. (2007). Bayesian regularization for Normal mixture estimation and model-based clustering. Journal of Classification 24, 155-181.
    • (2007) Journal of Classification , vol.24 , pp. 155-181
    • Fraley, C.1    Raftery, A.E.2
  • 11
    • 43749122090 scopus 로고    scopus 로고
    • A flexible and powerful Bayesian hierarchical model for ChIP-chip experiments
    • Gottardo, R., Li, W., Johnson, W. E., and Liu, X. S. (2008). A flexible and powerful Bayesian hierarchical model for ChIP-chip experiments. Biometrics 64, 468-478.
    • (2008) Biometrics , vol.64 , pp. 468-478
    • Gottardo, R.1    Li, W.2    Johnson, W.E.3    Liu, X.S.4
  • 12
    • 44849092474 scopus 로고    scopus 로고
    • The new paradigm of flow cell sequencing
    • Holt, R. A. and Jones, S. J. M. (2008). The new paradigm of flow cell sequencing. Genome Research 18, 839-846.
    • (2008) Genome Research , vol.18 , pp. 839-846
    • Holt, R.A.1    Jones, S.J.M.2
  • 14
    • 55749094855 scopus 로고    scopus 로고
    • An integrated software system for analyzing ChIP-chip and ChIP-seq data
    • Ji, H., Jiang, H., Ma, W., Johnson, D. S., Myers, R. M., and Wong, W. H. (2008). An integrated software system for analyzing ChIP-chip and ChIP-seq data. Nature Biotechnology 26, 1293-1300.
    • (2008) Nature Biotechnology , vol.26 , pp. 1293-1300
    • Ji, H.1    Jiang, H.2    Ma, W.3    Johnson, D.S.4    Myers, R.M.5    Wong, W.H.6
  • 17
    • 57449100870 scopus 로고    scopus 로고
    • Design and analysis of ChIP-seq experiments for DNA-binding proteins
    • Kharchenko, P. V., Tolstorukov, M. Y., and Park, P. J. (2008). Design and analysis of ChIP-seq experiments for DNA-binding proteins. Nature Biotechnology 26, 1351-1359.
    • (2008) Nature Biotechnology , vol.26 , pp. 1351-1359
    • Kharchenko, P.V.1    Tolstorukov, M.Y.2    Park, P.J.3
  • 20
    • 67649884743 scopus 로고    scopus 로고
    • Fast and accurate short read alignment with Burrows-Wheeler transform
    • Li, H. and Durbin, R. (2009). Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25, 1754-1760.
    • (2009) Bioinformatics , vol.25 , pp. 1754-1760
    • Li, H.1    Durbin, R.2
  • 21
    • 59649113226 scopus 로고    scopus 로고
    • GADEM: A genetic algorithm guided formation of spaced dyads coupled with an EM algorithm for motif discovery
    • Li, L. (2009). GADEM: A genetic algorithm guided formation of spaced dyads coupled with an EM algorithm for motif discovery. Journal of Computational Biology 16, 317-329.
    • (2009) Journal of Computational Biology , vol.16 , pp. 317-329
    • Li, L.1
  • 22
    • 42049123647 scopus 로고    scopus 로고
    • Automated gating of flow cytometry data via robust model-based clustering
    • Lo, K., Brinkman, R. R., and Gottardo, R. (2008). Automated gating of flow cytometry data via robust model-based clustering. Cytometry A 73A, 321-332.
    • (2008) Cytometry A , vol.73 , pp. 321-332
    • Lo, K.1    Brinkman, R.R.2    Gottardo, R.3
  • 23
    • 40849085514 scopus 로고    scopus 로고
    • FoxA1 translates epigenetic signatures into enhancer-driven lineage-specific transcription
    • Lupien, M., Eeckhoute, J., Meyer, C. A., Wang, Q., Zhang, Y., Li, W., Carroll, J. S., Liu, X. S., and Brown, M. (2008). FoxA1 translates epigenetic signatures into enhancer-driven lineage-specific transcription. Cell 132, 958-970.
    • (2008) Cell , vol.132 , pp. 958-970
    • Lupien, M.1    Eeckhoute, J.2    Meyer, C.A.3    Wang, Q.4    Zhang, Y.5    Li, W.6    Carroll, J.S.7    Liu, X.S.8    Brown, M.9
  • 24
    • 34047192976 scopus 로고    scopus 로고
    • DNA familial binding profiles made easy: Comparison of various motif alignment and clustering strategies
    • Mahony, S., Auron, P. E., and Benos, P. V. (2007). DNA familial binding profiles made easy: Comparison of various motif alignment and clustering strategies. PLoS Computational Biology 3, e61.
    • (2007) PLoS Computational Biology , vol.3
    • Mahony, S.1    Auron, P.E.2    Benos, P.V.3
  • 25
    • 0023783676 scopus 로고    scopus 로고
    • Fitting mixture models to grouped and truncated data via the em algorithm
    • McLachlan, G. J. and Jones, P. N. (1998). Fitting mixture models to grouped and truncated data via the em algorithm. Biometrics 44, 571-578.
    • (1998) Biometrics , vol.44 , pp. 571-578
    • McLachlan, G.J.1    Jones, P.N.2
  • 27
    • 27544468372 scopus 로고    scopus 로고
    • The Fos family of transcription factors and their role in tumourigenesis
    • Milde-Langosch, K. (2008). The Fos family of transcription factors and their role in tumourigenesis. European Journal of Cancer 41, 2449-2461.
    • (2008) European Journal of Cancer , vol.41 , pp. 2449-2461
    • Milde-Langosch, K.1
  • 28
    • 60849117520 scopus 로고    scopus 로고
    • Empirical methods for controlling false positives and estimating confidence in ChIP-seq peaks
    • Nix, D. A., Courdy, S. J., and Boucher, K. M. (2008). Empirical methods for controlling false positives and estimating confidence in ChIP-seq peaks. BMC Bioinformatics 9, 1-9.
    • (2008) BMC Bioinformatics , vol.9 , pp. 1-9
    • Nix, D.A.1    Courdy, S.J.2    Boucher, K.M.3
  • 29
    • 70349312354 scopus 로고    scopus 로고
    • ChIP-seq: Advantages and challenges of a maturing technology
    • Park, P. J. (2009). ChIP-seq: Advantages and challenges of a maturing technology. Nature Reviews Genetics 10, 669-680.
    • (2009) Nature Reviews Genetics , vol.10 , pp. 669-680
    • Park, P.J.1
  • 30
    • 0041407143 scopus 로고    scopus 로고
    • Robust mixture modelling using the t distribution
    • Peel, D. and McLachlan, G. J. (2000). Robust mixture modelling using the t distribution. Statistics and Computing 10, 339-348.
    • (2000) Statistics and Computing , vol.10 , pp. 339-348
    • Peel, D.1    McLachlan, G.J.2
  • 34
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics 6, 461-464.
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.