-
1
-
-
74549114755
-
A practical comparison of methods for detecting transcription factor binding sites in ChIP-seq experiments
-
Laajala TD, Raghav S, Tuomela S, et al. A practical comparison of methods for detecting transcription factor binding sites in ChIP-seq experiments. BMC Genomics 2009;10:618
-
(2009)
BMC Genomics
, vol.10
, pp. 618
-
-
Laajala, T.D.1
Raghav, S.2
Tuomela, S.3
-
2
-
-
77955368935
-
Evaluation of algorithm performance in ChIP-seq peak detection
-
Wilbanks EG, Facciotti MT. Evaluation of algorithm performance in ChIP-seq peak detection. PLoS ONE 2010; 5: e11471
-
(2010)
PLoS ONE
, vol.5
-
-
Wilbanks, E.G.1
Facciotti, M.T.2
-
3
-
-
79952334870
-
A manually curated ChIP-seq benchmark demonstrates room for improvement in current peak-finder programs
-
Rye MB, Saetrom P, Drablos F. A manually curated ChIP-seq benchmark demonstrates room for improvement in current peak-finder programs. Nucleic Acids Res 2011;39:e25
-
(2011)
Nucleic Acids Res
, vol.39
-
-
Rye, M.B.1
Saetrom, P.2
Drablos, F.3
-
4
-
-
84861397707
-
Picking ChIP-seq peak detectors for analyzing chromatin modification experiments
-
Micsinai M, Parisi F, Strino F, et al. Picking ChIP-seq peak detectors for analyzing chromatin modification experiments. Nucleic Acids Res 2012;40:e70
-
(2012)
Nucleic Acids Res
, vol.40
-
-
Micsinai, M.1
Parisi, F.2
Strino, F.3
-
5
-
-
84901495997
-
A comparison of peak callers used for dnase-seq data
-
Koohy H, Down TA, Spivakov M, et al. A comparison of peak callers used for dnase-seq data. PLoS ONE 2014;9:e96303-11
-
(2014)
PLoS ONE
, vol.9
, pp. e96303-e96311
-
-
Koohy, H.1
Down, T.A.2
Spivakov, M.3
-
6
-
-
82555193352
-
Rapid innovation in ChIP-seq peak-calling algorithms is outdistancing benchmarking efforts
-
Szalkowski AM, Schmid CD. Rapid innovation in ChIP-seq peak-calling algorithms is outdistancing benchmarking efforts. BriefBioinform 2011;12:626-33
-
(2011)
BriefBioinform
, vol.12
, pp. 626-633
-
-
Szalkowski, A.M.1
Schmid, C.D.2
-
7
-
-
84964696220
-
MUSIC: identification of enriched regions in ChIP-Seq experiments using a mappability-corrected multiscale signal processing framework
-
Harmanci A, Rozowsky J, Gerstein M. MUSIC: identification of enriched regions in ChIP-Seq experiments using a mappability-corrected multiscale signal processing framework. Genome Biol 2014;15:474
-
(2014)
Genome Biol
, vol.15
, pp. 474
-
-
Harmanci, A.1
Rozowsky, J.2
Gerstein, M.3
-
8
-
-
67650711619
-
A clustering approach for identification of enriched domains from histone modification ChIP-Seq data
-
Zang C, Schones DE, Zeng C, et al. 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.E.2
Zeng, C.3
-
9
-
-
54949147307
-
F-Seq: a feature density estimator for high-throughput sequence tags
-
Boyle AP, Guinney J, Crawford GE, et al. F-Seq: a feature density estimator for high-throughput sequence tags. Bioinformatics 2008;24:2537-8
-
(2008)
Bioinformatics
, vol.24
, pp. 2537-2538
-
-
Boyle, A.P.1
Guinney, J.2
Crawford, G.E.3
-
10
-
-
53849146020
-
Model-based analysis of ChIPSeq (MACS)
-
Zhang Y, Liu T, Meyer CA, et al. Model-based analysis of ChIPSeq (MACS). Genome Biol 2008;9:R137r137
-
(2008)
Genome Biol
, vol.9
-
-
Zhang, Y.1
Liu, T.2
Meyer, C.A.3
-
11
-
-
79960614727
-
ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions
-
Rashid NU, Giresi PG, Ibrahim JG, et al. ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions. Genome Biol 2011;12:R67
-
(2011)
Genome Biol
, vol.12
, pp. R67
-
-
Rashid, N.U.1
Giresi, P.G.2
Ibrahim, J.G.3
-
12
-
-
77952857912
-
A signal-noise model for significance analysis of ChIP-seq with negative control
-
Xu H, Handoko L, Wei X, et al. A signal-noise model for significance analysis of ChIP-seq with negative control. Bioinformatics 2010;26:1199-204
-
(2010)
Bioinformatics
, vol.26
, pp. 1199-1204
-
-
Xu, H.1
Handoko, L.2
Wei, X.3
-
13
-
-
84866086842
-
High resolution genome wide binding event finding and motif discovery reveals transcription factor spatial binding constraints
-
Guo Y, Mahony S, Gifford DK. High resolution genome wide binding event finding and motif discovery reveals transcription factor spatial binding constraints. PLoS Comput Biol 2012;8:e1002638
-
(2012)
PLoS Comput Biol
, vol.8
-
-
Guo, Y.1
Mahony, S.2
Gifford, D.K.3
-
14
-
-
84864587283
-
Genome-wide localization of protein-dna binding and histone modification by a Bayesian change-point method with Chip-Seq data
-
Xing H, Mo Y, Liao W, et al. Genome-wide localization of protein-dna binding and histone modification by a Bayesian change-point method with Chip-Seq data. PLoS Comput Biol 2012;8:e1002613
-
(2012)
PLoS Comput Biol
, vol.8
-
-
Xing, H.1
Mo, Y.2
Liao, W.3
-
15
-
-
53749092745
-
An HMM approach to genome-wide identification of differential histone modification sites from ChIP-seq data
-
Xu H, Wei CL, Lin F, et al. An HMM approach to genome-wide identification of differential histone modification sites from ChIP-seq data. Bioinformatics 2008;24:2344-9
-
(2008)
Bioinformatics
, vol.24
, pp. 2344-2349
-
-
Xu, H.1
Wei, C.L.2
Lin, F.3
-
16
-
-
60149112271
-
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
-
Rozowsky J, Euskirchen G, Auerbach RK, et al. PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls. Nat Biotechnol 2009;27:66-75
-
(2009)
Nat Biotechnol
, vol.27
, pp. 66-75
-
-
Rozowsky, J.1
Euskirchen, G.2
Auerbach, R.K.3
-
17
-
-
46249106990
-
Mapping and quantifying mammalian transcriptomes by RNA-Seq
-
Mortazavi A, Williams BA, McCue K, et al. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat Methods 2008;5:621-8
-
(2008)
Nat Methods
, vol.5
, pp. 621-628
-
-
Mortazavi, A.1
Williams, B.A.2
McCue, K.3
-
18
-
-
52649132425
-
Genome-wide identification of in vivo protein-DNA binding sites from ChIP-Seq data
-
Jothi R, Cuddapah S, Barski A, et al. Genome-wide identification of in vivo protein-DNA binding sites from ChIP-Seq data. Nucleic Acids Res 2008;36:5221-31
-
(2008)
Nucleic Acids Res
, vol.36
, pp. 5221-5231
-
-
Jothi, R.1
Cuddapah, S.2
Barski, A.3
-
19
-
-
50849090969
-
Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data
-
Valouev A, Johnson DS, Sundquist A, et al. Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data. Nat Methods 2008;5:829-34
-
(2008)
Nat Methods
, vol.5
, pp. 829-834
-
-
Valouev, A.1
Johnson, D.S.2
Sundquist, A.3
-
20
-
-
79952598545
-
Identifying dispersed epigenomic domains fromChIP-Seq data
-
Song Q, Smith AD. Identifying dispersed epigenomic domains fromChIP-Seq data. Bioinformatics 2011;27:870-1
-
(2011)
Bioinformatics
, vol.27
, pp. 870-871
-
-
Song, Q.1
Smith, A.D.2
-
22
-
-
79551590211
-
W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data
-
Lan X, Bonneville R, Apostolos J, et al. W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data. Bioinformatics 2011;27:428-30
-
(2011)
Bioinformatics
, vol.27
, pp. 428-430
-
-
Lan, X.1
Bonneville, R.2
Apostolos, J.3
-
23
-
-
84897492725
-
PolyaPeak: detecting transcription factor binding sites from chip-seq using peak shape information
-
Wu H, Ji H. PolyaPeak: detecting transcription factor binding sites from chip-seq using peak shape information. PLoS ONE 2014;9:e89694
-
(2014)
PLoS ONE
, vol.9
-
-
Wu, H.1
Ji, H.2
-
24
-
-
79952184341
-
Chromatin accessibility pre-determines glucocorticoid receptor binding patterns
-
John S, Sabo PJ, Thurman RE, et al. Chromatin accessibility pre-determines glucocorticoid receptor binding patterns. Nat Genet 2011;43:264-8
-
(2011)
Nat Genet
, vol.43
, pp. 264-268
-
-
John, S.1
Sabo, P.J.2
Thurman, R.E.3
-
25
-
-
77954041808
-
HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data
-
Qin ZS, Yu J, Shen J, et al. HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data. BMC Bioinformatics 2010;11:369-13
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 313-369
-
-
Qin, Z.S.1
Yu, J.2
Shen, J.3
-
26
-
-
70449434105
-
BayesPeak: Bayesian analysis of ChIP-seq data
-
Spyrou C, Stark R, Lynch AG, et al. BayesPeak: Bayesian analysis of ChIP-seq data. BMC Bioinformatics 2009;10:299-17
-
(2009)
BMC Bioinformatics
, vol.10
, pp. 217-299
-
-
Spyrou, C.1
Stark, R.2
Lynch, A.G.3
-
27
-
-
57449100870
-
Design and analysis of ChIP-seq experiments for DNA-binding proteins
-
Kharchenko PV, Tolstorukov MY, Park PJ. 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.V.1
Tolstorukov, M.Y.2
Park, P.J.3
-
28
-
-
55749094855
-
An integrated software system for analyzing ChIP-chip and ChIP-seq data
-
Ji H, Jiang H, Ma W, et al. 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
-
29
-
-
43349089437
-
GeneTrack-a genomic data processing and visualization framework
-
Albert I, Wachi S, Jiang C, et al. GeneTrack-a genomic data processing and visualization framework. Bioinformatics 2008;24:1305-6
-
(2008)
Bioinformatics
, vol.24
, pp. 1305-1306
-
-
Albert, I.1
Wachi, S.2
Jiang, C.3
-
30
-
-
77951230100
-
Sole-Search: an integrated analysis program for peak detection and functional annotation using ChIP-seq data
-
Blahnik KR, Dou L, O'Geen H, et al. Sole-Search: an integrated analysis program for peak detection and functional annotation using ChIP-seq data. Nucleic Acids Res 2010;38:e13
-
(2010)
Nucleic Acids Res
, vol.38
-
-
Blahnik, K.R.1
Dou, L.2
O'Geen, H.3
-
31
-
-
48249140621
-
FindPeaks 3.1: a tool for identifying areas of enrichment from massively parallel short-read sequencing technology
-
Fejes AP, Robertson G, Bilenky M, et al. FindPeaks 3.1: a tool for identifying areas of enrichment from massively parallel short-read sequencing technology. Bioinformatics 2008;24: 1729-30
-
(2008)
Bioinformatics
, vol.24
, pp. 1729-1730
-
-
Fejes, A.P.1
Robertson, G.2
Bilenky, M.3
-
33
-
-
28744458859
-
Bioconductor: open software development for computational biology and bioinformatics
-
Gentleman RC, Carey VJ, Bates DM, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol 2004;5:R80
-
(2004)
Genome Biol
, vol.5
, pp. R80
-
-
Gentleman, R.C.1
Carey, V.J.2
Bates, D.M.3
-
34
-
-
84964927929
-
-
R Foundation for Statistical Computing. Vienna, Austria
-
R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria, 2015 http://www.R-project.org/
-
(2015)
R: A language and environment for statistical computing
-
-
-
35
-
-
50949097455
-
Modeling ChIP sequencing in silico with applications
-
Zhang ZD, Rozowsky J, Snyder M, et al. Modeling ChIP sequencing in silico with applications. PLoS Comput Biol 2008;4:e1000158
-
(2008)
PLoS Comput Biol
, vol.4
-
-
Zhang, Z.D.1
Rozowsky, J.2
Snyder, M.3
-
36
-
-
84959387425
-
Complex interdependence regulates heterotypic transcription factor distribution and coordinates cardiogenesis
-
Luna-Zurita L, Stirnimann CU, Glatt S, et al. Complex interdependence regulates heterotypic transcription factor distribution and coordinates cardiogenesis. Cell 2016;164:999-1014
-
(2016)
Cell
, vol.164
, pp. 999-1014
-
-
Luna-Zurita, L.1
Stirnimann, C.U.2
Glatt, S.3
-
37
-
-
77951947707
-
ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq and ChIP-chip data
-
Zhu LJ, Gazin C, Lawson ND, et al. ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq and ChIP-chip data. BMC Bioinformatics 2010;11:237
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 237
-
-
Zhu, L.J.1
Gazin, C.2
Lawson, N.D.3
-
38
-
-
79955027617
-
Co-occupancy by multiple cardiac transcription factors identifies transcriptional enhancers active in heart
-
He A, Kong SW, Ma Q, et al. Co-occupancy by multiple cardiac transcription factors identifies transcriptional enhancers active in heart. PNAS 2011;108:5632-7
-
(2011)
PNAS
, vol.108
, pp. 5632-5637
-
-
He, A.1
Kong, S.W.2
Ma, Q.3
-
40
-
-
61349098460
-
Differential chromatin marking of introns and expressed exons by H3K36me3
-
Kolasinska-Zwierz P, Down T, Latorre I, et al. Differential chromatin marking of introns and expressed exons by H3K36me3. Nat Genet 2009;41:376-81
-
(2009)
Nat Genet
, vol.41
, pp. 376-381
-
-
Kolasinska-Zwierz, P.1
Down, T.2
Latorre, I.3
-
41
-
-
7444260846
-
The ENCODE (ENCyclopedia of DNA elements) project
-
Consortium TEP. The ENCODE (ENCyclopedia of DNA elements) project. Science 2004;306:636-40
-
(2004)
Science
, vol.306
, pp. 636-640
-
-
Consortium, T.E.P.1
-
42
-
-
84859210032
-
Fast gapped-read alignment with Bowtie 2
-
Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods 2012;9:357-9
-
(2012)
Nat Methods
, vol.9
, pp. 357-359
-
-
Langmead, B.1
Salzberg, S.L.2
-
43
-
-
84928987900
-
HTSeq-A Python framework to work with high-throughput sequencing data
-
Anders S, Pyl PT, Huber W. HTSeq-A Python framework to work with high-throughput sequencing data. Bioinformatics 2014;31:btu638-169
-
(2014)
Bioinformatics
, vol.31
-
-
Anders, S.1
Pyl, P.T.2
Huber, W.3
-
45
-
-
34249026300
-
High-resolution profiling of histone methylations in the human genome
-
Barski A, Cuddapah S, Cui K, 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
-
46
-
-
65249157560
-
The divergence and bhattacharyya distance measures in signal selection
-
Kailath T. The divergence and bhattacharyya distance measures in signal selection. IEEE Trans Commun Technol 1967;15: 52-60
-
(1967)
IEEE Trans Commun Technol
, vol.15
, pp. 52-60
-
-
Kailath, T.1
-
47
-
-
0002215069
-
On a measure of divergence between two statistical population defined by their population distributions
-
Bhattachayya A. On a measure of divergence between two statistical population defined by their population distributions. Bull Cal Math Soc 1943;35:99-109
-
(1943)
Bull Cal Math Soc
, vol.35
, pp. 99-109
-
-
Bhattachayya, A.1
-
49
-
-
84865777819
-
ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia
-
Landt SG, Marinov GK, Kundaje A, et al. ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia. Genome Res 2012;22:1813-31
-
(2012)
Genome Res
, vol.22
, pp. 1813-1831
-
-
Landt, S.G.1
Marinov, G.K.2
Kundaje, A.3
|