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Volumn 16, Issue 1, 2015, Pages

Is this the right normalization? A diagnostic tool for ChIP-seq normalization

Author keywords

Chip Seq; Diagnostic plots; Normalization

Indexed keywords

BINDING SITES; BINS; DIAGNOSTIC PRODUCTS; NUCLEIC ACIDS; RISK ASSESSMENT;

EID: 84930507381     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0579-z     Document Type: Article
Times cited : (9)

References (43)
  • 1
    • 33847262454 scopus 로고    scopus 로고
    • Epigenetic control of nuclear architecture
    • Espada J, Esteller M. Epigenetic control of nuclear architecture. Cell Mol Life Sci. 2007; 64:449-57.
    • (2007) Cell Mol Life Sci , vol.64 , pp. 449-457
    • Espada, J.1    Esteller, M.2
  • 2
    • 77957970301 scopus 로고    scopus 로고
    • Epigenetic modifications and human disease
    • Portela A, Esteller M. Epigenetic modifications and human disease. Nat Biotech. 2010; 28:1057-68.
    • (2010) Nat Biotech , vol.28 , pp. 1057-1068
    • Portela, A.1    Esteller, M.2
  • 4
    • 34249026300 scopus 로고    scopus 로고
    • High-resolution profiling of histone methylations in the human genome
    • Barski A, Cuddapah S, Cui K, Roh T, Schones D, Wang Z, et al. High-resolution profiling of histone methylations in the human genome. Cell. 2007; 129:823-37.
    • (2007) Cell , vol.129 , pp. 823-837
    • Barski, A.1    Cuddapah, S.2    Cui, K.3    Roh, T.4    Schones, D.5    Wang, Z.6
  • 5
    • 34250159524 scopus 로고    scopus 로고
    • Genome-wide mapping of in vivo protein-DNA interactions
    • Johnson D, Mortazavi A, Myers R, Wald B. Genome-wide mapping of in vivo protein-DNA interactions. Science. 2007; 316:1497-502.
    • (2007) Science , vol.316 , pp. 1497-1502
    • Johnson, D.1    Mortazavi, A.2    Myers, R.3    Wald, B.4
  • 6
    • 34547624303 scopus 로고    scopus 로고
    • Genome-wide maps of chromatin state in pluripotent and lineage-committed cells
    • Mikkelsen T, Ku M, Jaffe D, Issac B, Lieberman E, Giannoukos G, et al. Genome-wide maps of chromatin state in pluripotent and lineage-committed cells. Nature. 2007; 448:553-60.
    • (2007) Nature , vol.448 , pp. 553-560
    • Mikkelsen, T.1    Ku, M.2    Jaffe, D.3    Issac, B.4    Lieberman, E.5    Giannoukos, G.6
  • 7
    • 84930503875 scopus 로고    scopus 로고
    • Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing
    • Robertson G, Hirst M, Bainbridge M, Bilenky M, Zhao Y, Zeng T, et al. Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing. Nat Methods. 2007; 316:1497-502.
    • (2007) Nat Methods , vol.316 , pp. 1497-1502
    • Robertson, G.1    Hirst, M.2    Bainbridge, M.3    Bilenky, M.4    Zhao, Y.5    Zeng, T.6
  • 8
    • 70349312354 scopus 로고    scopus 로고
    • ChIP-seq: advantages and challenges of a maturing technology
    • Park P. ChIP-seq: advantages and challenges of a maturing technology. Nat Rev Genet. 2009; 10:669-80.
    • (2009) Nat Rev Genet , vol.10 , pp. 669-680
    • Park, P.1
  • 9
    • 77957276865 scopus 로고    scopus 로고
    • Introduction into the analysis of high-throughput-sequencing based epigenome data
    • Huss M. Introduction into the analysis of high-throughput-sequencing based epigenome data. Briefings Bioinf. 2010; 11:512-23.
    • (2010) Briefings Bioinf , vol.11 , pp. 512-523
    • Huss, M.1
  • 10
    • 84869502241 scopus 로고    scopus 로고
    • ChIP-seq and beyond: new and improved methodologies to detect and characterize protein-DNA interactions
    • Furey T. ChIP-seq and beyond: new and improved methodologies to detect and characterize protein-DNA interactions. Nat Rev Genet. 2012; 13:840-52.
    • (2012) Nat Rev Genet , vol.13 , pp. 840-852
    • Furey, T.1
  • 11
    • 79952065988 scopus 로고    scopus 로고
    • ChIP-chip versus ChIP-seq: Lessons for experimental design and data analysis
    • art 134
    • Ho J, Bishop E, Karchenko P, Negre N, White K, Park P. ChIP-chip versus ChIP-seq: Lessons for experimental design and data analysis. BMC Genomics. 2011; 12:art 134.
    • (2011) BMC Genomics , vol.12
    • Ho, J.1    Bishop, E.2    Karchenko, P.3    Negre, N.4    White, K.5    Park, P.6
  • 12
    • 84930507904 scopus 로고    scopus 로고
    • The ENCODE Project: ENCyclopedia Of DNA Elements. [ http://www.genome.gov/10005107 ]
  • 13
    • 84930504260 scopus 로고    scopus 로고
    • Genome Browser: Encyclopedia of DNA Elements. [ http://genome.ucsc.edu/ENCODE/ ]
  • 14
    • 84865790047 scopus 로고    scopus 로고
    • An integrated encyclopedia of DNA elements in the human genome
    • The ENCODE Project Consortium. An integrated encyclopedia of DNA elements in the human genome. Nature. 2012; 489(7414):57-74.
    • (2012) Nature , vol.489 , Issue.7414 , pp. 57-74
  • 16
    • 70449711243 scopus 로고    scopus 로고
    • Computation for ChIP-seq and RNA-seq studies
    • Pepke S, Wold B, Mortazavi A. Computation for ChIP-seq and RNA-seq studies. Nat Methods. 2009; 6(11 Suppl):S22-32.
    • (2009) Nat Methods , vol.6 , Issue.11 SUPPL , pp. S22-32
    • Pepke, S.1    Wold, B.2    Mortazavi, A.3
  • 17
    • 77955368935 scopus 로고    scopus 로고
    • Evaluation of Algorithm Performance in ChIP-Seq Peak Detections
    • Wilbanks E, Facciotti M. Evaluation of Algorithm Performance in ChIP-Seq Peak Detections. PLoS ONE. 2010; 5:e11471.
    • (2010) PLoS ONE , vol.5 , pp. e11471
    • Wilbanks, E.1    Facciotti, M.2
  • 18
    • 84888264156 scopus 로고    scopus 로고
    • Practical Guidelines for the Comprehensive Analysis of ChIP-seq Data
    • Bailey T, Krajewski P, Ladunga I, Lefebvre C, Li Q, Liu T, et al. Practical Guidelines for the Comprehensive Analysis of ChIP-seq Data. PLoS Comput Biol. 2013; 9:e1003326.
    • (2013) PLoS Comput Biol , vol.9 , pp. e1003326
    • Bailey, T.1    Krajewski, P.2    Ladunga, I.3    Li, Q.4    Liu, T.5
  • 19
    • 57449100870 scopus 로고    scopus 로고
    • Design and analysis of ChIP-seq experiments for DNA-binding proteins
    • Kharchenko P, Tolstorukov M, Park P. Design and analysis of ChIP-seq experiments for DNA-binding proteins. Nat Biotechnol. 2008; 26:1351-9.
    • (2008) Nat Biotechnol , vol.26 , pp. 1351-1359
    • Kharchenko, P.1    Tolstorukov, M.2    Park, P.3
  • 20
    • 77952857912 scopus 로고    scopus 로고
    • A signal noise model for significance analysis of ChIP-seq with negative control
    • Xu H, Handoko L, Wei X, Ye C, Sheng J, Wei C, et al. A signal noise model for significance analysis of ChIP-seq with negative control. Nat Biotechnol. 2008; 26:1199-204.
    • (2008) Nat Biotechnol , vol.26 , pp. 1199-1204
    • Xu, H.1    Handoko, L.2    Wei, X.3    Ye, C.4    Sheng, J.5    Wei, C.6
  • 21
    • 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, Myers R, Wong H. An integrated software system for analyzing ChIP-chip and ChIP-seq data. Nat Biotechnol. 2008; 26:1293-300.
    • (2008) Nat Biotechnol , vol.26 , pp. 1293-1300
    • Ji, H.1    Jiang, H.2    Ma, W.3    Johnson, D.4    Myers, R.5    Wong, H.6
  • 23
    • 70449434105 scopus 로고    scopus 로고
    • BayesPeak: Bayesian analysis of ChIP-seq data
    • Spyrou C, Stark R, Lynch AG, Tavaré S. BayesPeak: Bayesian analysis of ChIP-seq data. BMC Bioinf. 2009; 10:299.
    • (2009) BMC Bioinf , vol.10 , pp. 299
    • Spyrou, C.1    Stark, R.2    Lynch, A.G.3
  • 25
    • 67650711619 scopus 로고    scopus 로고
    • A clustering approach for identification of enriched domains from histone modification ChIP-Seq data
    • Zang C, Schones D, Zeng C, Cui K, Zhao K, Peng W. A clustering approach for identification of enriched domains from histone modification ChIP-Seq data. Bioinformatics. 2009; 25:1952-8.
    • (2009) Bioinformatics , vol.25 , pp. 1952-1958
    • Zang, C.1    Schones, D.2    Zeng, C.3    Cui, K.4    Zhao, K.5    Peng, W.6
  • 27
    • 79952598545 scopus 로고    scopus 로고
    • Identifying dispersed epigenomic domains from ChIP-Seq data
    • Song Q, Smith A. Identifying dispersed epigenomic domains from ChIP-Seq data. Bioinformatics. 2011; 27:870-1.
    • (2011) Bioinformatics , vol.27 , pp. 870-871
    • Song, Q.1    Smith, A.2
  • 28
    • 84874308615 scopus 로고    scopus 로고
    • BroadPeak: a novel algorithm for identifying broad peaks in diffuse ChIP-seq datasets
    • Wang J, Lunyak V, Jordan I. BroadPeak: a novel algorithm for identifying broad peaks in diffuse ChIP-seq datasets. Bioinformatics. 2013; 29:492-3.
    • (2013) Bioinformatics , vol.29 , pp. 492-493
    • Wang, J.1    Lunyak, V.2    Jordan, I.3
  • 29
    • 84864803359 scopus 로고    scopus 로고
    • Normalization on ChIP-seq data with control
    • Liang K, Keleş S. Normalization on ChIP-seq data with control. BMC Bioinformatics. 2012; 13:199.
    • (2012) BMC Bioinformatics , vol.13 , pp. 199
    • Liang, K.1
  • 30
    • 84864545388 scopus 로고    scopus 로고
    • ChIPnorm: a statistical method for normalizing and identifying differential regions in histone modification ChIP-seq libraries
    • Nair N, Sahu A, Bucher P, Moret BM. ChIPnorm: a statistical method for normalizing and identifying differential regions in histone modification ChIP-seq libraries. PLoS One. 2012; 7:e39573.
    • (2012) PLoS One , vol.7 , pp. e39573
    • Nair, N.1    Sahu, A.2    Bucher, P.3    Moret, B.M.4
  • 31
    • 84864956117 scopus 로고    scopus 로고
    • Normalization, bias correction, and peak calling for ChIP-seq
    • Article 9
    • Diaz A, Park K, Lim D, Song JS. Normalization, bias correction, and peak calling for ChIP-seq. Stat Appl Genet Mol Biol. 2012; 11:Article 9.
    • (2012) Stat Appl Genet Mol Biol , vol.11
    • Park, K.1    Lim, D.2    Song, J.S.3
  • 32
    • 84555190006 scopus 로고    scopus 로고
    • Analyzing ChIP-seq data: preprocessing, normalization, differential identification, and binding pattern characterization
    • Wang J, Tan AC, Tian T, editors.New York: Springer:
    • Taslim C, Huang K, Huang T, Lin S. Analyzing ChIP-seq data: preprocessing, normalization, differential identification, and binding pattern characterization In: Wang J, Tan AC, Tian T, editors. Methods Mol, Biol. New York: Springer: 2012. p. 275-91.
    • (2012) Methods Mol, Biol. , pp. 275-291
    • Taslim, C.1    Huang, K.2    Huang, T.3    Lin, S.4
  • 33
    • 84865712383 scopus 로고    scopus 로고
    • Understanding transcriptional regulation by integrative analysis of transcription factor binding data
    • Cheng C, Alexander R, Min R, Leng J, Yip KY, Rozowsky J, et al. Understanding transcriptional regulation by integrative analysis of transcription factor binding data. Genome Res. 2012; 22:1658-67.
    • (2012) Genome Res , vol.22 , pp. 1658-1667
    • Cheng, C.1    Alexander, R.2    Min, R.3    Leng, J.4    Yip, K.Y.5    Rozowsky, J.6
  • 34
    • 84865761246 scopus 로고    scopus 로고
    • Modeling gene expression using chromatin features in various cellular contexts
    • Dong X, Greven M, Kundaje A, Djebali S, Brown J, Cheng C. Modeling gene expression using chromatin features in various cellular contexts. Genome Biol. 2012; 213:R53.
    • (2012) Genome Biol , vol.213 , pp. R53
    • Dong, X.1    Greven, M.2    Kundaje, A.3    Djebali, S.4    Brown, J.5    Cheng, C.6
  • 35
    • 0003535936 scopus 로고    scopus 로고
    • Categorical Data Analysis
    • 2nd edition: John Wiley & Sons;
    • Agresti A. Categorical Data Analysis, 2nd edition: John Wiley & Sons; 2002.
    • Agresti, A.1
  • 36
    • 0003994910 scopus 로고
    • Density Estimation
    • London: Chapman and Hall;
    • Silverman BW. Density Estimation. London: Chapman and Hall; 1986.
    • (1986)
    • Silverman, B.W.1
  • 37
    • 77951610155 scopus 로고    scopus 로고
    • Genetic analysis of variation in transcription factor binding in yeast
    • Zheng W, Zhao H, Mancera E, Steinmetz L, Snyder M. Genetic analysis of variation in transcription factor binding in yeast. Nature. 2010; 464(7292):1187-91.
    • (2010) Nature , vol.464 , Issue.7292 , pp. 1187-1191
    • Zheng, W.1    Zhao, H.2    Mancera, E.3    Steinmetz, L.4    Snyder, M.5
  • 38
    • 84862639469 scopus 로고    scopus 로고
    • DNA sequence-dependent compartmentalization and silencing of chromatin at the nuclear lamina
    • Zullo JM, Demarco IA, Piqué-Regi R, Gaffney DJ, Epstein CB, Spooner CJ, et al. DNA sequence-dependent compartmentalization and silencing of chromatin at the nuclear lamina. Cell. 2012; 149(7):1474-87. doi:10.1016/j.ell.2012.04.035.
    • (2012) Cell , vol.149 , Issue.7 , pp. 1474-1487
    • Zullo, J.M.1    Demarco, I.A.2    Piqué-Regi, R.3    Gaffney, D.J.4    Epstein, C.B.5    Spooner, C.J.6
  • 39
    • 84930507492 scopus 로고    scopus 로고
    • The model organism ENCyclopedia Of DNA Elements. [ http://www.modencode.org/ ]
  • 40
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: a practical and powerful approach to multiple testing
    • Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B. 1995; 57(1):289-300.
    • (1995) J R Stat Soc Ser B , vol.57 , Issue.1 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 41
    • 84930503463 scopus 로고    scopus 로고
    • Controlling the false discovery rate via knockoffs
    • arXiv:1404.5609.
    • Barber RF, Candes E. Controlling the false discovery rate via knockoffs. arXiv:1404.5609. 2014.
    • (2014)
    • Barber, R.F.1    Candes, E.2
  • 42
    • 84861548193 scopus 로고    scopus 로고
    • Summarizing and correcting for the GC-content bias in high throughput sequencing
    • Benjamini Y, Speed TP. Summarizing and correcting for the GC-content bias in high throughput sequencing. Nucleic Acids Res. 2012; 40:10:e72.
    • (2012) Nucleic Acids Res , vol.40 , pp. e72
    • Benjamini, Y.1    Speed, T.P.2
  • 43
    • 84876143056 scopus 로고    scopus 로고
    • Current bioinformatic approaches to identify DNase I hypersensitive sites and genomic footprints from DNase-seq data
    • Madrigal P, Krajewski P. Current bioinformatic approaches to identify DNase I hypersensitive sites and genomic footprints from DNase-seq data. Front Genet. 2012; 3:230.
    • (2012) Front Genet , vol.3 , pp. 230
    • Madrigal, P.1    Krajewski, P.2


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