An interactive environment for agile analysis and visualization of ChIP-sequencing data
EaSeq, a user-friendly and freely available software tool, offers fast and comprehensive ChIP-sequencing data analyses, enabling experimentalists to easily extract information and generate hypotheses from genome-wide datasets. To empower experimentalists with a means for fast and comprehensive chrom...
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| Published in | Nature structural & molecular biology Vol. 23; no. 4; pp. 349 - 357 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Nature Publishing Group US
01.04.2016
Nature Publishing Group |
| Subjects | |
| Online Access | Get full text |
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| Abstract | EaSeq, a user-friendly and freely available software tool, offers fast and comprehensive ChIP-sequencing data analyses, enabling experimentalists to easily extract information and generate hypotheses from genome-wide datasets.
To empower experimentalists with a means for fast and comprehensive chromatin immunoprecipitation sequencing (ChIP-seq) data analyses, we introduce an integrated computational environment, EaSeq. The software combines the exploratory power of genome browsers with an extensive set of interactive and user-friendly tools for genome-wide abstraction and visualization. It enables experimentalists to easily extract information and generate hypotheses from their own data and public genome-wide datasets. For demonstration purposes, we performed meta-analyses of public Polycomb ChIP-seq data and established a new screening approach to analyze more than 900 datasets from mouse embryonic stem cells for factors potentially associated with Polycomb recruitment. EaSeq, which is freely available and works on a standard personal computer, can substantially increase the throughput of many analysis workflows, facilitate transparency and reproducibility by automatically documenting and organizing analyses, and enable a broader group of scientists to gain insights from ChIP-seq data. |
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| AbstractList | To empower experimentalists with a means for fast and comprehensive chromatin immunoprecipitation sequencing (ChIP-seq) data analyses, we introduce an integrated computational environment, EaSeq. The software combines the exploratory power of genome browsers with an extensive set of interactive and user-friendly tools for genome-wide abstraction and visualization. It enables experimentalists to easily extract information and generate hypotheses from their own data and public genome-wide datasets. For demonstration purposes, we performed meta-analyses of public Polycomb ChIP-seq data and established a new screening approach to analyze more than 900 datasets from mouse embryonic stem cells for factors potentially associated with Polycomb recruitment. EaSeq, which is freely available and works on a standard personal computer, can substantially increase the throughput of many analysis workflows, facilitate transparency and reproducibility by automatically documenting and organizing analyses, and enable a broader group of scientists to gain insights from ChIP-seq data.To empower experimentalists with a means for fast and comprehensive chromatin immunoprecipitation sequencing (ChIP-seq) data analyses, we introduce an integrated computational environment, EaSeq. The software combines the exploratory power of genome browsers with an extensive set of interactive and user-friendly tools for genome-wide abstraction and visualization. It enables experimentalists to easily extract information and generate hypotheses from their own data and public genome-wide datasets. For demonstration purposes, we performed meta-analyses of public Polycomb ChIP-seq data and established a new screening approach to analyze more than 900 datasets from mouse embryonic stem cells for factors potentially associated with Polycomb recruitment. EaSeq, which is freely available and works on a standard personal computer, can substantially increase the throughput of many analysis workflows, facilitate transparency and reproducibility by automatically documenting and organizing analyses, and enable a broader group of scientists to gain insights from ChIP-seq data. To empower experimentalists with a means for fast and comprehensive chromatin immunoprecipitation sequencing (ChIP-seq) data analyses, we introduce an integrated computational environment, EaSeq. The software combines the exploratory power of genome browsers with an extensive set of interactive and user-friendly tools for genome-wide abstraction and visualization. It enables experimentalists to easily extract information and generate hypotheses from their own data and public genome-wide datasets. For demonstration purposes, we performed meta-analyses of public Polycomb ChIP-seq data and established a new screening approach to analyze more than 900 datasets from mouse embryonic stem cells for factors potentially associated with Polycomb recruitment. EaSeq, which is freely available and works on a standard personal computer, can substantially increase the throughput of many analysis workflows, facilitate transparency and reproducibility by automatically documenting and organizing analyses, and enable a broader group of scientists to gain insights from ChIP-seq data. EaSeq, a user-friendly and freely available software tool, offers fast and comprehensive ChIP-sequencing data analyses, enabling experimentalists to easily extract information and generate hypotheses from genome-wide datasets. To empower experimentalists with a means for fast and comprehensive chromatin immunoprecipitation sequencing (ChIP-seq) data analyses, we introduce an integrated computational environment, EaSeq. The software combines the exploratory power of genome browsers with an extensive set of interactive and user-friendly tools for genome-wide abstraction and visualization. It enables experimentalists to easily extract information and generate hypotheses from their own data and public genome-wide datasets. For demonstration purposes, we performed meta-analyses of public Polycomb ChIP-seq data and established a new screening approach to analyze more than 900 datasets from mouse embryonic stem cells for factors potentially associated with Polycomb recruitment. EaSeq, which is freely available and works on a standard personal computer, can substantially increase the throughput of many analysis workflows, facilitate transparency and reproducibility by automatically documenting and organizing analyses, and enable a broader group of scientists to gain insights from ChIP-seq data. |
| Audience | Academic |
| Author | Johansen, Jens Vilstrup Lerdrup, Mads Hansen, Klaus Agrawal-Singh, Shuchi |
| Author_xml | – sequence: 1 givenname: Mads surname: Lerdrup fullname: Lerdrup, Mads email: mads.lerdrup@bric.ku.dk organization: Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Centre for Epigenetics, University of Copenhagen – sequence: 2 givenname: Jens Vilstrup surname: Johansen fullname: Johansen, Jens Vilstrup organization: Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Department of Biology, The Bioinformatics Centre, University of Copenhagen – sequence: 3 givenname: Shuchi surname: Agrawal-Singh fullname: Agrawal-Singh, Shuchi organization: Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Centre for Epigenetics, University of Copenhagen – sequence: 4 givenname: Klaus surname: Hansen fullname: Hansen, Klaus email: klaus.hansen@bric.ku.dk organization: Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Centre for Epigenetics, University of Copenhagen |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26926434$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1186/gb-2011-12-8-r83 10.1101/gr.4086505 10.1016/j.cell.2014.05.004 10.1016/j.molcel.2014.06.005 10.1038/nature11247 10.1038/nature08398 10.1038/nmeth.3038 10.7554/eLife.00205 10.1128/MCB.26.7.2560-2569.2006 10.1038/nmeth.1246 10.1371/journal.pgen.1002494 10.1016/j.molcel.2013.02.013 10.1186/gb-2008-9-9-r137 10.1101/gr.136184.111 10.1093/nar/30.1.207 10.1371/journal.pcbi.1002163 10.1093/bioinformatics/btq033 10.2307/2683591 10.1038/nmeth.1371 10.1038/ncb2702 10.1038/nsmb.2669 10.1038/nsmb.2833 10.1038/nature09784 10.1093/bioinformatics/btg405 10.1038/nmeth.1809 10.1371/journal.pgen.1003717 10.1038/ncb1787 10.1093/nar/gkt1114 10.1534/g3.113.008680 10.1101/gr.140665.112 10.1242/dev.102681 10.1198/016214501753381814 10.1093/bioinformatics/btt520 10.1016/j.celrep.2014.04.012 10.1093/bioinformatics/btq286 10.1186/1471-2105-11-415 10.1126/science.1141319 10.1038/nbt.1754 10.1093/bioinformatics/bth349 10.1093/nar/gku302 10.1093/bioinformatics/btu638 10.1038/nbt.1505 10.1038/nrg3305 10.1016/j.molcel.2013.01.016 10.1186/1471-2105-13-199 10.1038/498255a 10.1186/gb-2004-5-10-r80 10.1038/nature11516 10.1126/science.1231382 10.1093/nar/gkq1287 10.1038/nrm3789 10.1101/gr.229102 10.1080/01621459.1979.10481038 10.1016/j.molcel.2013.01.031 10.1371/journal.pone.0011471 10.1016/j.cell.2007.05.009 10.1186/gb-2009-10-3-r25 10.1093/bioinformatics/btp352 10.1038/nbt1010-1045 10.1038/nbt.2283 10.1038/nbt.1508 10.1016/j.cell.2011.12.029 10.1111/j.2517-6161.1995.tb02031.x |
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| PublicationDate_xml | – month: 04 year: 2016 text: 2016-04-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York – name: United States |
| PublicationTitle | Nature structural & molecular biology |
| PublicationTitleAbbrev | Nat Struct Mol Biol |
| PublicationTitleAlternate | Nat Struct Mol Biol |
| PublicationYear | 2016 |
| Publisher | Nature Publishing Group US Nature Publishing Group |
| Publisher_xml | – name: Nature Publishing Group US – name: Nature Publishing Group |
| References | Dietrich (CR55) 2012; 8 Consortium (CR5) 2012; 489 Giardine (CR16) 2005; 15 Kharchenko, Tolstorukov, Park (CR26) 2008; 26 Zhang (CR32) 2008; 9 Bernstein (CR4) 2010; 28 Liu (CR18) 2011; 12 Steffen, Ringrose (CR40) 2014; 15 Wilbanks, Facciotti (CR35) 2010; 5 Huang, Loganantharaj, Schroeder, Fargo, Li (CR10) 2013; 29 Blackledge (CR43) 2014; 157 Kent (CR59) 2002; 12 Margueron (CR50) 2009; 461 Chelaru, Smith, Goldstein, Bravo (CR7) 2014; 11 Anders, Pyl, Huber (CR23) 2015; 31 Nekrutenko, Taylor (CR1) 2012; 13 Moon, Lou, Tamsir, Stanton, Voigt (CR54) 2012; 491 Ye (CR15) 2011; 39 Wu, Johansen, Helin (CR46) 2013; 49 Ji (CR11) 2008; 26 Simon, Kingston (CR39) 2013; 49 Nielsen (CR8) 2012; 22 Coulombe (CR9) 2014; 42 Halbritter, Vaidya, Tomlinson (CR17) 2012; 9 Gautier, Cope, Bolstad, Irizarry (CR25) 2004; 20 Cleveland (CR29) 1979; 74 Landt (CR27) 2012; 22 Pengelly, Copur, Jäckle, Herzig, Müller (CR57) 2013; 339 Li (CR62) 2009; 25 Pruitt (CR64) 2014; 42 Robinson (CR12) 2011; 29 Plocik, Graveley (CR2) 2013; 49 Bernstein (CR58) 2006; 26 Riising (CR47) 2014; 55 Sadeghi, Bonilla, Strålfors, Ekwall, Svensson (CR13) 2011; 7 Liang, Keleş (CR33) 2012; 13 Pepke, Wold, Mortazavi (CR34) 2009; 6 Klose, Cooper, Farcas, Blackledge, Brockdorff (CR48) 2013; 9 Tavares (CR56) 2012; 148 Benjamini, Hochberg (CR63) 1995; 57 Marx (CR3) 2013; 498 Denissov (CR53) 2014; 141 Saldanha (CR60) 2004; 20 Valouev (CR38) 2008; 5 Bendall, Nolan (CR21) 2012; 30 Quinlan, Hall (CR24) 2010; 26 Hansen (CR49) 2008; 10 Langmead, Trapnell, Pop, Salzberg (CR61) 2009; 10 Di Croce, Helin (CR42) 2013; 20 Cooper (CR51) 2014; 7 Johnson, Mortazavi, Myers, Wold (CR36) 2007; 316 Cleveland (CR30) 1981; 35 Marinov, Kundaje, Park, Wold (CR28) 2014; 4 Salmon-Divon, Dvinge, Tammoja, Bertone (CR14) 2010; 11 Margueron, Reinberg (CR41) 2011; 469 Amaratunga, Cabrera (CR31) 2001; 96 Edgar, Domrachev, Lash (CR6) 2002; 30 Kalb (CR52) 2014; 21 Gentleman (CR19) 2004; 5 Barski (CR22) 2007; 129 Jiang, Wang, Dyer, Wong (CR37) 2010; 26 CR20 He (CR45) 2013; 15 Farcas (CR44) 2012; 1 A Nekrutenko (BFnsmb3180_CR1) 2012; 13 AR Quinlan (BFnsmb3180_CR24) 2010; 26 R Kalb (BFnsmb3180_CR52) 2014; 21 L Gautier (BFnsmb3180_CR25) 2004; 20 N Dietrich (BFnsmb3180_CR55) 2012; 8 F Chelaru (BFnsmb3180_CR7) 2014; 11 T Liu (BFnsmb3180_CR18) 2011; 12 E Bernstein (BFnsmb3180_CR58) 2006; 26 JT Robinson (BFnsmb3180_CR12) 2011; 29 A Valouev (BFnsmb3180_CR38) 2008; 5 NP Blackledge (BFnsmb3180_CR43) 2014; 157 C Coulombe (BFnsmb3180_CR9) 2014; 42 X Wu (BFnsmb3180_CR46) 2013; 49 R Margueron (BFnsmb3180_CR50) 2009; 461 S Anders (BFnsmb3180_CR23) 2015; 31 RJ Klose (BFnsmb3180_CR48) 2013; 9 H Jiang (BFnsmb3180_CR37) 2010; 26 WS Cleveland (BFnsmb3180_CR29) 1979; 74 H Li (BFnsmb3180_CR62) 2009; 25 L Di Croce (BFnsmb3180_CR42) 2013; 20 BE Bernstein (BFnsmb3180_CR4) 2010; 28 PA Steffen (BFnsmb3180_CR40) 2014; 15 DS Johnson (BFnsmb3180_CR36) 2007; 316 EM Riising (BFnsmb3180_CR47) 2014; 55 SC Bendall (BFnsmb3180_CR21) 2012; 30 AM Farcas (BFnsmb3180_CR44) 2012; 1 BFnsmb3180_CR20 R Margueron (BFnsmb3180_CR41) 2011; 469 B Giardine (BFnsmb3180_CR16) 2005; 15 JA Simon (BFnsmb3180_CR39) 2013; 49 WS Cleveland (BFnsmb3180_CR30) 1981; 35 W Huang (BFnsmb3180_CR10) 2013; 29 SG Landt (BFnsmb3180_CR27) 2012; 22 TS Moon (BFnsmb3180_CR54) 2012; 491 KH Hansen (BFnsmb3180_CR49) 2008; 10 D Amaratunga (BFnsmb3180_CR31) 2001; 96 R Edgar (BFnsmb3180_CR6) 2002; 30 GK Marinov (BFnsmb3180_CR28) 2014; 4 K Liang (BFnsmb3180_CR33) 2012; 13 Y Benjamini (BFnsmb3180_CR63) 1995; 57 AM Plocik (BFnsmb3180_CR2) 2013; 49 J He (BFnsmb3180_CR45) 2013; 15 KD Pruitt (BFnsmb3180_CR64) 2014; 42 WJ Kent (BFnsmb3180_CR59) 2002; 12 S Pepke (BFnsmb3180_CR34) 2009; 6 V Marx (BFnsmb3180_CR3) 2013; 498 EP Consortium (BFnsmb3180_CR5) 2012; 489 M Salmon-Divon (BFnsmb3180_CR14) 2010; 11 CB Nielsen (BFnsmb3180_CR8) 2012; 22 A Barski (BFnsmb3180_CR22) 2007; 129 S Denissov (BFnsmb3180_CR53) 2014; 141 EG Wilbanks (BFnsmb3180_CR35) 2010; 5 AJ Saldanha (BFnsmb3180_CR60) 2004; 20 T Ye (BFnsmb3180_CR15) 2011; 39 F Halbritter (BFnsmb3180_CR17) 2012; 9 S Cooper (BFnsmb3180_CR51) 2014; 7 B Langmead (BFnsmb3180_CR61) 2009; 10 H Ji (BFnsmb3180_CR11) 2008; 26 PV Kharchenko (BFnsmb3180_CR26) 2008; 26 L Tavares (BFnsmb3180_CR56) 2012; 148 AR Pengelly (BFnsmb3180_CR57) 2013; 339 Y Zhang (BFnsmb3180_CR32) 2008; 9 L Sadeghi (BFnsmb3180_CR13) 2011; 7 RC Gentleman (BFnsmb3180_CR19) 2004; 5 19844228 - Nat Methods. 2009 Nov;6(11 Suppl):S22-32 24753414 - Nucleic Acids Res. 2014 Jul;42(Web Server issue):W485-93 21248841 - Nature. 2011 Jan 20;469(7330):343-9 21221095 - Nat Biotechnol. 2011 Jan;29(1):24-6 24999238 - Mol Cell. 2014 Aug 7;55(3):347-60 22955991 - Genome Res. 2012 Sep;22(9):1813-31 12045153 - Genome Res. 2002 Jun;12(6):996-1006 18931660 - Nat Cell Biol. 2008 Nov;10 (11):1291-300 20628599 - PLoS One. 2010 Jul 08;5(7):e11471 24755934 - Nat Rev Mol Cell Biol. 2014 May;15(5):340-56 20691053 - BMC Bioinformatics. 2010 Aug 06;11:415 16537902 - Mol Cell Biol. 2006 Apr;26(7):2560-9 24837194 - Nat Struct Mol Biol. 2014 Jun;21(6):569-71 22396653 - PLoS Genet. 2012;8(3):e1002494 21177645 - Nucleic Acids Res. 2011 Mar;39(6):e35 23256043 - Elife. 2012 Dec 18;1:e00205 19029915 - Nat Biotechnol. 2008 Dec;26(12):1351-9 23502314 - Nat Cell Biol. 2013 Apr;15(4):373-84 17512414 - Cell. 2007 May 18;129(4):823-37 25260700 - Bioinformatics. 2015 Jan 15;31(2):166-9 19505943 - Bioinformatics. 2009 Aug 15;25(16):2078-9 20110278 - Bioinformatics. 2010 Mar 15;26(6):841-2 22325148 - Cell. 2012 Feb 17;148(4):664-78 23990804 - PLoS Genet. 2013;9(8):e1003717 19160518 - Nat Methods. 2008 Sep;5(9):829-34 24259432 - Nucleic Acids Res. 2014 Jan;42(Database issue):D756-63 24096405 - Nat Struct Mol Biol. 2013 Oct;20(10):1147-55 23041931 - Nature. 2012 Nov 8;491(7423):249-53 25086505 - Nat Methods. 2014 Sep;11(9):938-40 23765498 - Nature. 2013 Jun 13;498(7453):255-60 19767730 - Nature. 2009 Oct 8;461(7265):762-7 23393264 - Science. 2013 Feb 8;339(6120):698-9 24008416 - Bioinformatics. 2013 Dec 1;29(23):3097-9 22898652 - Nat Rev Genet. 2012 Sep;13(9):667-72 21859476 - Genome Biol. 2011 Aug 22;12(8):R83 20944595 - Nat Biotechnol. 2010 Oct;28(10):1045-8 20513664 - Bioinformatics. 2010 Jul 15;26(14):1781-2 11752295 - Nucleic Acids Res. 2002 Jan 1;30(1):207-10 24423662 - Development. 2014 Feb;141(3):526-37 22781693 - Nat Biotechnol. 2012 Jul 10;30(7):639-47 24857660 - Cell Rep. 2014 Jun 12;7(5):1456-70 17540862 - Science. 2007 Jun 8;316(5830):1497-502 23473600 - Mol Cell. 2013 Mar 7;49(5):808-24 23438857 - Mol Cell. 2013 Feb 21;49(4):605-17 21901086 - PLoS Comput Biol. 2011 Aug;7(8):e1002163 24856970 - Cell. 2014 Jun 5;157(6):1445-59 16169926 - Genome Res. 2005 Oct;15(10):1451-5 22883957 - BMC Bioinformatics. 2012 Aug 10;13:199 23395003 - Mol Cell. 2013 Mar 28;49(6):1134-46 15461798 - Genome Biol. 2004;5(10):R80 18798982 - Genome Biol. 2008;9(9):R137 19261174 - Genome Biol. 2009;10(3):R25 22955616 - Nature. 2012 Sep 6;489(7414):57-74 18978777 - Nat Biotechnol. 2008 Nov;26(11):1293-300 24347632 - G3 (Bethesda). 2014 Feb 19;4(2):209-23 15180930 - Bioinformatics. 2004 Nov 22;20(17):3246-8 22205509 - Nat Methods. 2011 Dec 28;9(1):7-8 22960372 - Genome Res. 2012 Nov;22(11):2262-9 14960456 - Bioinformatics. 2004 Feb 12;20(3):307-15 |
| References_xml | – volume: 12 start-page: R83 year: 2011 ident: CR18 article-title: Cistrome: an integrative platform for transcriptional regulation studies publication-title: Genome Biol. doi: 10.1186/gb-2011-12-8-r83 – volume: 15 start-page: 1451 year: 2005 end-page: 1455 ident: CR16 article-title: Galaxy: a platform for interactive large-scale genome analysis publication-title: Genome Res. doi: 10.1101/gr.4086505 – volume: 157 start-page: 1445 year: 2014 end-page: 1459 ident: CR43 article-title: Variant PRC1 complex-dependent H2A ubiquitylation drives PRC2 recruitment and polycomb domain formation publication-title: Cell doi: 10.1016/j.cell.2014.05.004 – volume: 55 start-page: 347 year: 2014 end-page: 360 ident: CR47 article-title: Gene silencing triggers polycomb repressive complex 2 recruitment to CpG islands genome wide publication-title: Mol. Cell doi: 10.1016/j.molcel.2014.06.005 – volume: 489 start-page: 57 year: 2012 end-page: 74 ident: CR5 article-title: An integrated encyclopedia of DNA elements in the human genome publication-title: Nature doi: 10.1038/nature11247 – volume: 461 start-page: 762 year: 2009 end-page: 767 ident: CR50 article-title: Role of the polycomb protein EED in the propagation of repressive histone marks publication-title: Nature doi: 10.1038/nature08398 – volume: 11 start-page: 938 year: 2014 end-page: 940 ident: CR7 article-title: Epiviz: interactive visual analytics for functional genomics data publication-title: Nat. Methods doi: 10.1038/nmeth.3038 – volume: 1 start-page: e00205 year: 2012 ident: CR44 article-title: KDM2B links the Polycomb Repressive Complex 1 (PRC1) to recognition of CpG islands publication-title: eLife doi: 10.7554/eLife.00205 – volume: 26 start-page: 2560 year: 2006 end-page: 2569 ident: CR58 article-title: Mouse polycomb proteins bind differentially to methylated histone H3 and RNA and are enriched in facultative heterochromatin publication-title: Mol. Cell. Biol. doi: 10.1128/MCB.26.7.2560-2569.2006 – volume: 5 start-page: 829 year: 2008 end-page: 834 ident: CR38 article-title: Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data publication-title: Nat. Methods doi: 10.1038/nmeth.1246 – volume: 8 start-page: e1002494 year: 2012 ident: CR55 article-title: REST-mediated recruitment of polycomb repressor complexes in mammalian cells publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1002494 – volume: 49 start-page: 808 year: 2013 end-page: 824 ident: CR39 article-title: Occupying chromatin: Polycomb mechanisms for getting to genomic targets, stopping transcriptional traffic, and staying put publication-title: Mol. Cell doi: 10.1016/j.molcel.2013.02.013 – volume: 9 start-page: R137 year: 2008 ident: CR32 article-title: Model-based analysis of ChIP-Seq (MACS) publication-title: Genome Biol. doi: 10.1186/gb-2008-9-9-r137 – volume: 22 start-page: 1813 year: 2012 end-page: 1831 ident: CR27 article-title: ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia publication-title: Genome Res. doi: 10.1101/gr.136184.111 – volume: 30 start-page: 207 year: 2002 end-page: 210 ident: CR6 article-title: Gene Expression Omnibus: NCBI gene expression and hybridization array data repository publication-title: Nucleic Acids Res. doi: 10.1093/nar/30.1.207 – volume: 57 start-page: 289 year: 1995 end-page: 300 ident: CR63 article-title: Controlling the false discovery rate: a practical and powerful approach to multiple testing publication-title: J. R. Stat. Soc. Series B Stat. Methodol. – volume: 7 start-page: e1002163 year: 2011 ident: CR13 article-title: Podbat: a novel genomic tool reveals Swr1-independent H2A.Z incorporation at gene coding sequences through epigenetic meta-analysis publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1002163 – volume: 26 start-page: 841 year: 2010 end-page: 842 ident: CR24 article-title: BEDTools: a flexible suite of utilities for comparing genomic features publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq033 – volume: 35 start-page: 54 year: 1981 ident: CR30 article-title: Lowess: a program for smoothing scatterplots by robust locally weighted regression publication-title: Am. Stat. doi: 10.2307/2683591 – volume: 6 start-page: S22 year: 2009 end-page: S32 ident: CR34 article-title: Computation for ChIP-seq and RNA-seq studies publication-title: Nat. Methods doi: 10.1038/nmeth.1371 – volume: 15 start-page: 373 year: 2013 end-page: 384 ident: CR45 article-title: Kdm2b maintains murine embryonic stem cell status by recruiting PRC1 complex to CpG islands of developmental genes publication-title: Nat. Cell Biol. doi: 10.1038/ncb2702 – volume: 20 start-page: 1147 year: 2013 end-page: 1155 ident: CR42 article-title: Transcriptional regulation by Polycomb group proteins publication-title: Nat. Struct. Mol. Biol. doi: 10.1038/nsmb.2669 – volume: 21 start-page: 569 year: 2014 end-page: 571 ident: CR52 article-title: Histone H2A monoubiquitination promotes histone H3 methylation in Polycomb repression publication-title: Nat. Struct. Mol. Biol. doi: 10.1038/nsmb.2833 – volume: 469 start-page: 343 year: 2011 end-page: 349 ident: CR41 article-title: The Polycomb complex PRC2 and its mark in life publication-title: Nature doi: 10.1038/nature09784 – volume: 20 start-page: 307 year: 2004 end-page: 315 ident: CR25 article-title: affy: analysis of Affymetrix GeneChip data at the probe level publication-title: Bioinformatics doi: 10.1093/bioinformatics/btg405 – volume: 9 start-page: 7 year: 2012 end-page: 8 ident: CR17 article-title: GeneProf: analysis of high-throughput sequencing experiments publication-title: Nat. Methods doi: 10.1038/nmeth.1809 – volume: 9 start-page: e1003717 year: 2013 ident: CR48 article-title: Chromatin sampling: an emerging perspective on targeting polycomb repressor proteins publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1003717 – volume: 10 start-page: 1291 year: 2008 end-page: 1300 ident: CR49 article-title: A model for transmission of the H3K27me3 epigenetic mark publication-title: Nat. Cell Biol. doi: 10.1038/ncb1787 – volume: 42 start-page: D756 year: 2014 end-page: D763 ident: CR64 article-title: RefSeq: an update on mammalian reference sequences publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkt1114 – volume: 4 start-page: 209 year: 2014 end-page: 223 ident: CR28 article-title: Large-scale quality analysis of published ChIP-seq data publication-title: G3 (Bethesda) doi: 10.1534/g3.113.008680 – volume: 22 start-page: 2262 year: 2012 end-page: 2269 ident: CR8 article-title: Spark: a navigational paradigm for genomic data exploration publication-title: Genome Res. doi: 10.1101/gr.140665.112 – volume: 141 start-page: 526 year: 2014 end-page: 537 ident: CR53 article-title: Mll2 is required for H3K4 trimethylation on bivalent promoters in embryonic stem cells, whereas Mll1 is redundant publication-title: Development doi: 10.1242/dev.102681 – volume: 96 start-page: 1161 year: 2001 end-page: 1170 ident: CR31 article-title: Analysis of data from viral DNA microchips publication-title: J. Am. Stat. Assoc. doi: 10.1198/016214501753381814 – volume: 29 start-page: 3097 year: 2013 end-page: 3099 ident: CR10 article-title: PAVIS: a tool for peak annotation and visualization publication-title: Bioinformatics doi: 10.1093/bioinformatics/btt520 – volume: 7 start-page: 1456 year: 2014 end-page: 1470 ident: CR51 article-title: Targeting polycomb to pericentric heterochromatin in embryonic stem cells reveals a role for H2AK119u1 in PRC2 recruitment publication-title: Cell Rep. doi: 10.1016/j.celrep.2014.04.012 – volume: 26 start-page: 1781 year: 2010 end-page: 1782 ident: CR37 article-title: CisGenome Browser: a flexible tool for genomic data visualization publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq286 – volume: 11 start-page: 415 year: 2010 ident: CR14 article-title: PeakAnalyzer: genome-wide annotation of chromatin binding and modification loci publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-11-415 – volume: 316 start-page: 1497 year: 2007 end-page: 1502 ident: CR36 article-title: Genome-wide mapping of protein-DNA interactions publication-title: Science doi: 10.1126/science.1141319 – volume: 29 start-page: 24 year: 2011 end-page: 26 ident: CR12 article-title: Integrative genomics viewer publication-title: Nat. Biotechnol. doi: 10.1038/nbt.1754 – volume: 20 start-page: 3246 year: 2004 end-page: 3248 ident: CR60 article-title: Java Treeview: extensible visualization of microarray data publication-title: Bioinformatics doi: 10.1093/bioinformatics/bth349 – volume: 42 start-page: W485 year: 2014 end-page: W493 ident: CR9 article-title: VAP: a versatile aggregate profiler for efficient genome-wide data representation and discovery publication-title: Nucleic Acids Res. doi: 10.1093/nar/gku302 – volume: 31 start-page: 166 year: 2015 end-page: 169 ident: CR23 article-title: HTSeq: a Python framework to work with high-throughput sequencing data publication-title: Bioinformatics doi: 10.1093/bioinformatics/btu638 – volume: 26 start-page: 1293 year: 2008 end-page: 1300 ident: CR11 article-title: An integrated software system for analyzing ChIP-chip and ChIP-seq data publication-title: Nat. Biotechnol. doi: 10.1038/nbt.1505 – volume: 13 start-page: 667 year: 2012 end-page: 672 ident: CR1 article-title: Next-generation sequencing data interpretation: enhancing reproducibility and accessibility publication-title: Nat. Rev. Genet. doi: 10.1038/nrg3305 – volume: 49 start-page: 1134 year: 2013 end-page: 1146 ident: CR46 article-title: Fbxl10/Kdm2b recruits polycomb repressive complex 1 to CpG islands and regulates H2A ubiquitylation publication-title: Mol. Cell doi: 10.1016/j.molcel.2013.01.016 – volume: 13 start-page: 199 year: 2012 ident: CR33 article-title: Normalization of ChIP-seq data with control publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-13-199 – volume: 498 start-page: 255 year: 2013 end-page: 260 ident: CR3 article-title: Biology: the big challenges of big data publication-title: Nature doi: 10.1038/498255a – volume: 5 start-page: R80 year: 2004 ident: CR19 article-title: Bioconductor: open software development for computational biology and bioinformatics publication-title: Genome Biol. doi: 10.1186/gb-2004-5-10-r80 – volume: 491 start-page: 249 year: 2012 end-page: 253 ident: CR54 article-title: Genetic programs constructed from layered logic gates in single cells publication-title: Nature doi: 10.1038/nature11516 – volume: 339 start-page: 698 year: 2013 end-page: 699 ident: CR57 article-title: A histone mutant reproduces the phenotype caused by loss of histone-modifying factor Polycomb publication-title: Science doi: 10.1126/science.1231382 – volume: 39 start-page: e35 year: 2011 ident: CR15 article-title: seqMINER: an integrated ChIP-seq data interpretation platform publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkq1287 – volume: 15 start-page: 340 year: 2014 end-page: 356 ident: CR40 article-title: What are memories made of? How Polycomb and Trithorax proteins mediate epigenetic memory publication-title: Nat. Rev. Mol. Cell Biol. doi: 10.1038/nrm3789 – volume: 12 start-page: 996 year: 2002 end-page: 1006 ident: CR59 article-title: The human genome browser at UCSC publication-title: Genome Res. doi: 10.1101/gr.229102 – volume: 74 start-page: 829 year: 1979 end-page: 836 ident: CR29 article-title: Robust locally weighted regression and smoothing scatterplots publication-title: J. Am. Stat. Assoc. doi: 10.1080/01621459.1979.10481038 – volume: 49 start-page: 605 year: 2013 end-page: 617 ident: CR2 article-title: New insights from existing sequence data: generating breakthroughs without a pipette publication-title: Mol. Cell doi: 10.1016/j.molcel.2013.01.031 – volume: 5 start-page: e11471 year: 2010 ident: CR35 article-title: Evaluation of algorithm performance in ChIP-seq peak detection publication-title: PLoS One doi: 10.1371/journal.pone.0011471 – volume: 129 start-page: 823 year: 2007 end-page: 837 ident: CR22 article-title: High-resolution profiling of histone methylations in the human genome publication-title: Cell doi: 10.1016/j.cell.2007.05.009 – volume: 10 start-page: R25 year: 2009 ident: CR61 article-title: Ultrafast and memory-efficient alignment of short DNA sequences to the human genome publication-title: Genome Biol. doi: 10.1186/gb-2009-10-3-r25 – volume: 25 start-page: 2078 year: 2009 end-page: 2079 ident: CR62 article-title: 1000 Genome Project Data Processing Subgroup. The Sequence Alignment/Map format and SAMtools publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp352 – volume: 28 start-page: 1045 year: 2010 end-page: 1048 ident: CR4 article-title: The NIH Roadmap Epigenomics Mapping Consortium publication-title: Nat. Biotechnol. doi: 10.1038/nbt1010-1045 – volume: 30 start-page: 639 year: 2012 end-page: 647 ident: CR21 article-title: From single cells to deep phenotypes in cancer publication-title: Nat. Biotechnol. doi: 10.1038/nbt.2283 – volume: 26 start-page: 1351 year: 2008 end-page: 1359 ident: CR26 article-title: Design and analysis of ChIP-seq experiments for DNA-binding proteins publication-title: Nat. Biotechnol. doi: 10.1038/nbt.1508 – volume: 148 start-page: 664 year: 2012 end-page: 678 ident: CR56 article-title: RYBP-PRC1 complexes mediate H2A ubiquitylation at polycomb target sites independently of PRC2 and H3K27me3 publication-title: Cell doi: 10.1016/j.cell.2011.12.029 – ident: CR20 – volume: 35 start-page: 54 year: 1981 ident: BFnsmb3180_CR30 publication-title: Am. Stat. doi: 10.2307/2683591 – volume: 26 start-page: 1781 year: 2010 ident: BFnsmb3180_CR37 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq286 – volume: 49 start-page: 1134 year: 2013 ident: BFnsmb3180_CR46 publication-title: Mol. Cell doi: 10.1016/j.molcel.2013.01.016 – volume: 5 start-page: R80 year: 2004 ident: BFnsmb3180_CR19 publication-title: Genome Biol. doi: 10.1186/gb-2004-5-10-r80 – volume: 461 start-page: 762 year: 2009 ident: BFnsmb3180_CR50 publication-title: Nature doi: 10.1038/nature08398 – volume: 29 start-page: 3097 year: 2013 ident: BFnsmb3180_CR10 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btt520 – volume: 316 start-page: 1497 year: 2007 ident: BFnsmb3180_CR36 publication-title: Science doi: 10.1126/science.1141319 – volume: 8 start-page: e1002494 year: 2012 ident: BFnsmb3180_CR55 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1002494 – volume: 339 start-page: 698 year: 2013 ident: BFnsmb3180_CR57 publication-title: Science doi: 10.1126/science.1231382 – volume: 5 start-page: 829 year: 2008 ident: BFnsmb3180_CR38 publication-title: Nat. Methods doi: 10.1038/nmeth.1246 – volume: 129 start-page: 823 year: 2007 ident: BFnsmb3180_CR22 publication-title: Cell doi: 10.1016/j.cell.2007.05.009 – volume: 30 start-page: 207 year: 2002 ident: BFnsmb3180_CR6 publication-title: Nucleic Acids Res. doi: 10.1093/nar/30.1.207 – volume: 22 start-page: 1813 year: 2012 ident: BFnsmb3180_CR27 publication-title: Genome Res. doi: 10.1101/gr.136184.111 – volume: 28 start-page: 1045 year: 2010 ident: BFnsmb3180_CR4 publication-title: Nat. Biotechnol. doi: 10.1038/nbt1010-1045 – volume: 31 start-page: 166 year: 2015 ident: BFnsmb3180_CR23 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btu638 – volume: 25 start-page: 2078 year: 2009 ident: BFnsmb3180_CR62 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp352 – volume: 12 start-page: R83 year: 2011 ident: BFnsmb3180_CR18 publication-title: Genome Biol. doi: 10.1186/gb-2011-12-8-r83 – volume: 11 start-page: 938 year: 2014 ident: BFnsmb3180_CR7 publication-title: Nat. Methods doi: 10.1038/nmeth.3038 – volume: 26 start-page: 1293 year: 2008 ident: BFnsmb3180_CR11 publication-title: Nat. Biotechnol. doi: 10.1038/nbt.1505 – volume: 57 start-page: 289 year: 1995 ident: BFnsmb3180_CR63 publication-title: J. R. Stat. Soc. Series B Stat. Methodol. doi: 10.1111/j.2517-6161.1995.tb02031.x – volume: 49 start-page: 605 year: 2013 ident: BFnsmb3180_CR2 publication-title: Mol. Cell doi: 10.1016/j.molcel.2013.01.031 – volume: 9 start-page: 7 year: 2012 ident: BFnsmb3180_CR17 publication-title: Nat. Methods doi: 10.1038/nmeth.1809 – volume: 148 start-page: 664 year: 2012 ident: BFnsmb3180_CR56 publication-title: Cell doi: 10.1016/j.cell.2011.12.029 – volume: 9 start-page: e1003717 year: 2013 ident: BFnsmb3180_CR48 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1003717 – volume: 489 start-page: 57 year: 2012 ident: BFnsmb3180_CR5 publication-title: Nature doi: 10.1038/nature11247 – volume: 96 start-page: 1161 year: 2001 ident: BFnsmb3180_CR31 publication-title: J. Am. Stat. Assoc. doi: 10.1198/016214501753381814 – ident: BFnsmb3180_CR20 – volume: 13 start-page: 199 year: 2012 ident: BFnsmb3180_CR33 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-13-199 – volume: 141 start-page: 526 year: 2014 ident: BFnsmb3180_CR53 publication-title: Development doi: 10.1242/dev.102681 – volume: 15 start-page: 340 year: 2014 ident: BFnsmb3180_CR40 publication-title: Nat. Rev. Mol. Cell Biol. doi: 10.1038/nrm3789 – volume: 20 start-page: 3246 year: 2004 ident: BFnsmb3180_CR60 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bth349 – volume: 13 start-page: 667 year: 2012 ident: BFnsmb3180_CR1 publication-title: Nat. Rev. Genet. doi: 10.1038/nrg3305 – volume: 15 start-page: 1451 year: 2005 ident: BFnsmb3180_CR16 publication-title: Genome Res. doi: 10.1101/gr.4086505 – volume: 49 start-page: 808 year: 2013 ident: BFnsmb3180_CR39 publication-title: Mol. Cell doi: 10.1016/j.molcel.2013.02.013 – volume: 74 start-page: 829 year: 1979 ident: BFnsmb3180_CR29 publication-title: J. Am. Stat. Assoc. doi: 10.1080/01621459.1979.10481038 – volume: 11 start-page: 415 year: 2010 ident: BFnsmb3180_CR14 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-11-415 – volume: 30 start-page: 639 year: 2012 ident: BFnsmb3180_CR21 publication-title: Nat. Biotechnol. doi: 10.1038/nbt.2283 – volume: 9 start-page: R137 year: 2008 ident: BFnsmb3180_CR32 publication-title: Genome Biol. doi: 10.1186/gb-2008-9-9-r137 – volume: 10 start-page: 1291 year: 2008 ident: BFnsmb3180_CR49 publication-title: Nat. Cell Biol. doi: 10.1038/ncb1787 – volume: 491 start-page: 249 year: 2012 ident: BFnsmb3180_CR54 publication-title: Nature doi: 10.1038/nature11516 – volume: 29 start-page: 24 year: 2011 ident: BFnsmb3180_CR12 publication-title: Nat. Biotechnol. doi: 10.1038/nbt.1754 – volume: 20 start-page: 307 year: 2004 ident: BFnsmb3180_CR25 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btg405 – volume: 26 start-page: 1351 year: 2008 ident: BFnsmb3180_CR26 publication-title: Nat. Biotechnol. doi: 10.1038/nbt.1508 – volume: 12 start-page: 996 year: 2002 ident: BFnsmb3180_CR59 publication-title: Genome Res. doi: 10.1101/gr.229102 – volume: 157 start-page: 1445 year: 2014 ident: BFnsmb3180_CR43 publication-title: Cell doi: 10.1016/j.cell.2014.05.004 – volume: 21 start-page: 569 year: 2014 ident: BFnsmb3180_CR52 publication-title: Nat. Struct. Mol. Biol. doi: 10.1038/nsmb.2833 – volume: 7 start-page: 1456 year: 2014 ident: BFnsmb3180_CR51 publication-title: Cell Rep. doi: 10.1016/j.celrep.2014.04.012 – volume: 26 start-page: 841 year: 2010 ident: BFnsmb3180_CR24 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq033 – volume: 6 start-page: S22 year: 2009 ident: BFnsmb3180_CR34 publication-title: Nat. Methods doi: 10.1038/nmeth.1371 – volume: 42 start-page: D756 year: 2014 ident: BFnsmb3180_CR64 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkt1114 – volume: 1 start-page: e00205 year: 2012 ident: BFnsmb3180_CR44 publication-title: eLife doi: 10.7554/eLife.00205 – volume: 39 start-page: e35 year: 2011 ident: BFnsmb3180_CR15 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkq1287 – volume: 10 start-page: R25 year: 2009 ident: BFnsmb3180_CR61 publication-title: Genome Biol. doi: 10.1186/gb-2009-10-3-r25 – volume: 15 start-page: 373 year: 2013 ident: BFnsmb3180_CR45 publication-title: Nat. Cell Biol. doi: 10.1038/ncb2702 – volume: 42 start-page: W485 year: 2014 ident: BFnsmb3180_CR9 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gku302 – volume: 469 start-page: 343 year: 2011 ident: BFnsmb3180_CR41 publication-title: Nature doi: 10.1038/nature09784 – volume: 4 start-page: 209 year: 2014 ident: BFnsmb3180_CR28 publication-title: G3 (Bethesda) doi: 10.1534/g3.113.008680 – volume: 20 start-page: 1147 year: 2013 ident: BFnsmb3180_CR42 publication-title: Nat. Struct. Mol. Biol. doi: 10.1038/nsmb.2669 – volume: 26 start-page: 2560 year: 2006 ident: BFnsmb3180_CR58 publication-title: Mol. Cell. Biol. doi: 10.1128/MCB.26.7.2560-2569.2006 – volume: 7 start-page: e1002163 year: 2011 ident: BFnsmb3180_CR13 publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1002163 – volume: 55 start-page: 347 year: 2014 ident: BFnsmb3180_CR47 publication-title: Mol. Cell doi: 10.1016/j.molcel.2014.06.005 – volume: 498 start-page: 255 year: 2013 ident: BFnsmb3180_CR3 publication-title: Nature doi: 10.1038/498255a – volume: 22 start-page: 2262 year: 2012 ident: BFnsmb3180_CR8 publication-title: Genome Res. doi: 10.1101/gr.140665.112 – volume: 5 start-page: e11471 year: 2010 ident: BFnsmb3180_CR35 publication-title: PLoS One doi: 10.1371/journal.pone.0011471 – reference: 23473600 - Mol Cell. 2013 Mar 7;49(5):808-24 – reference: 16169926 - Genome Res. 2005 Oct;15(10):1451-5 – reference: 15461798 - Genome Biol. 2004;5(10):R80 – reference: 19029915 - Nat Biotechnol. 2008 Dec;26(12):1351-9 – reference: 23256043 - Elife. 2012 Dec 18;1:e00205 – reference: 20513664 - Bioinformatics. 2010 Jul 15;26(14):1781-2 – reference: 22898652 - Nat Rev Genet. 2012 Sep;13(9):667-72 – reference: 21221095 - Nat Biotechnol. 2011 Jan;29(1):24-6 – reference: 24837194 - Nat Struct Mol Biol. 2014 Jun;21(6):569-71 – reference: 21248841 - Nature. 2011 Jan 20;469(7330):343-9 – reference: 25260700 - Bioinformatics. 2015 Jan 15;31(2):166-9 – reference: 24755934 - Nat Rev Mol Cell Biol. 2014 May;15(5):340-56 – reference: 22955616 - Nature. 2012 Sep 6;489(7414):57-74 – reference: 24423662 - Development. 2014 Feb;141(3):526-37 – reference: 18798982 - Genome Biol. 2008;9(9):R137 – reference: 23041931 - Nature. 2012 Nov 8;491(7423):249-53 – reference: 22325148 - Cell. 2012 Feb 17;148(4):664-78 – reference: 17540862 - Science. 2007 Jun 8;316(5830):1497-502 – reference: 23393264 - Science. 2013 Feb 8;339(6120):698-9 – reference: 22396653 - PLoS Genet. 2012;8(3):e1002494 – reference: 23502314 - Nat Cell Biol. 2013 Apr;15(4):373-84 – reference: 19767730 - Nature. 2009 Oct 8;461(7265):762-7 – reference: 21859476 - Genome Biol. 2011 Aug 22;12(8):R83 – reference: 20110278 - Bioinformatics. 2010 Mar 15;26(6):841-2 – reference: 22205509 - Nat Methods. 2011 Dec 28;9(1):7-8 – reference: 22781693 - Nat Biotechnol. 2012 Jul 10;30(7):639-47 – reference: 24857660 - Cell Rep. 2014 Jun 12;7(5):1456-70 – reference: 15180930 - Bioinformatics. 2004 Nov 22;20(17):3246-8 – reference: 25086505 - Nat Methods. 2014 Sep;11(9):938-40 – reference: 23765498 - Nature. 2013 Jun 13;498(7453):255-60 – reference: 19261174 - Genome Biol. 2009;10(3):R25 – reference: 24999238 - Mol Cell. 2014 Aug 7;55(3):347-60 – reference: 22883957 - BMC Bioinformatics. 2012 Aug 10;13:199 – reference: 20628599 - PLoS One. 2010 Jul 08;5(7):e11471 – reference: 18931660 - Nat Cell Biol. 2008 Nov;10 (11):1291-300 – reference: 19844228 - Nat Methods. 2009 Nov;6(11 Suppl):S22-32 – reference: 21177645 - Nucleic Acids Res. 2011 Mar;39(6):e35 – reference: 18978777 - Nat Biotechnol. 2008 Nov;26(11):1293-300 – reference: 23990804 - PLoS Genet. 2013;9(8):e1003717 – reference: 24259432 - Nucleic Acids Res. 2014 Jan;42(Database issue):D756-63 – reference: 23395003 - Mol Cell. 2013 Mar 28;49(6):1134-46 – reference: 11752295 - Nucleic Acids Res. 2002 Jan 1;30(1):207-10 – reference: 12045153 - Genome Res. 2002 Jun;12(6):996-1006 – reference: 24856970 - Cell. 2014 Jun 5;157(6):1445-59 – reference: 22960372 - Genome Res. 2012 Nov;22(11):2262-9 – reference: 19505943 - Bioinformatics. 2009 Aug 15;25(16):2078-9 – reference: 19160518 - Nat Methods. 2008 Sep;5(9):829-34 – reference: 22955991 - Genome Res. 2012 Sep;22(9):1813-31 – reference: 23438857 - Mol Cell. 2013 Feb 21;49(4):605-17 – reference: 14960456 - Bioinformatics. 2004 Feb 12;20(3):307-15 – reference: 20691053 - BMC Bioinformatics. 2010 Aug 06;11:415 – reference: 20944595 - Nat Biotechnol. 2010 Oct;28(10):1045-8 – reference: 24096405 - Nat Struct Mol Biol. 2013 Oct;20(10):1147-55 – reference: 16537902 - Mol Cell Biol. 2006 Apr;26(7):2560-9 – reference: 17512414 - Cell. 2007 May 18;129(4):823-37 – reference: 24347632 - G3 (Bethesda). 2014 Feb 19;4(2):209-23 – reference: 21901086 - PLoS Comput Biol. 2011 Aug;7(8):e1002163 – reference: 24008416 - Bioinformatics. 2013 Dec 1;29(23):3097-9 – reference: 24753414 - Nucleic Acids Res. 2014 Jul;42(Web Server issue):W485-93 |
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| Snippet | EaSeq, a user-friendly and freely available software tool, offers fast and comprehensive ChIP-sequencing data analyses, enabling experimentalists to easily... To empower experimentalists with a means for fast and comprehensive chromatin immunoprecipitation sequencing (ChIP-seq) data analyses, we introduce an... |
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| SubjectTerms | 45/15 631/114 631/1647/2217/2088 631/208/176/2016 631/208/212/177 64/60 Animals Biochemistry Biological Microscopy Biology Chromatin Chromatin Immunoprecipitation - methods Epigenetics Genome Genomes Genomics Life Sciences Membrane Biology Mice Polycomb-Group Proteins - analysis Protein Structure Scientists Software Stem cells technical-report Visualization (Computers) |
| Title | An interactive environment for agile analysis and visualization of ChIP-sequencing data |
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