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  • 1
    Publication Date: 2011-03-29
    Description: Chromatin profiling has emerged as a powerful means of genome annotation and detection of regulatory activity. The approach is especially well suited to the characterization of non-coding portions of the genome, which critically contribute to cellular phenotypes yet remain largely uncharted. Here we map nine chromatin marks across nine cell types to systematically characterize regulatory elements, their cell-type specificities and their functional interactions. Focusing on cell-type-specific patterns of promoters and enhancers, we define multicell activity profiles for chromatin state, gene expression, regulatory motif enrichment and regulator expression. We use correlations between these profiles to link enhancers to putative target genes, and predict the cell-type-specific activators and repressors that modulate them. The resulting annotations and regulatory predictions have implications for the interpretation of genome-wide association studies. Top-scoring disease single nucleotide polymorphisms are frequently positioned within enhancer elements specifically active in relevant cell types, and in some cases affect a motif instance for a predicted regulator, thus suggesting a mechanism for the association. Our study presents a general framework for deciphering cis-regulatory connections and their roles in disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3088773/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3088773/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ernst, Jason -- Kheradpour, Pouya -- Mikkelsen, Tarjei S -- Shoresh, Noam -- Ward, Lucas D -- Epstein, Charles B -- Zhang, Xiaolan -- Wang, Li -- Issner, Robbyn -- Coyne, Michael -- Ku, Manching -- Durham, Timothy -- Kellis, Manolis -- Bernstein, Bradley E -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01HG004037/HG/NHGRI NIH HHS/ -- RC1HG005334/HG/NHGRI NIH HHS/ -- U54 HG004570/HG/NHGRI NIH HHS/ -- U54 HG004570-01/HG/NHGRI NIH HHS/ -- U54 HG004570-02/HG/NHGRI NIH HHS/ -- U54 HG004570-02S1/HG/NHGRI NIH HHS/ -- U54 HG004570-03/HG/NHGRI NIH HHS/ -- U54 HG004570-03S1/HG/NHGRI NIH HHS/ -- U54 HG004570-04/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 May 5;473(7345):43-9. doi: 10.1038/nature09906. Epub 2011 Mar 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21441907" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; Cell Line ; Cell Line, Tumor ; *Cell Physiological Phenomena ; Cells, Cultured ; Chromatin/*genetics/*metabolism ; *Chromosome Mapping ; Gene Expression Regulation ; Genome, Human/genetics ; Hep G2 Cells ; Humans ; Promoter Regions, Genetic/genetics ; Reproducibility of Results ; Transcription Factors/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2014-11-05
    Description: Genome-wide association studies have identified loci underlying human diseases, but the causal nucleotide changes and mechanisms remain largely unknown. Here we developed a fine-mapping algorithm to identify candidate causal variants for 21 autoimmune diseases from genotyping data. We integrated these predictions with transcription and cis-regulatory element annotations, derived by mapping RNA and chromatin in primary immune cells, including resting and stimulated CD4(+) T-cell subsets, regulatory T cells, CD8(+) T cells, B cells, and monocytes. We find that approximately 90% of causal variants are non-coding, with approximately 60% mapping to immune-cell enhancers, many of which gain histone acetylation and transcribe enhancer-associated RNA upon immune stimulation. Causal variants tend to occur near binding sites for master regulators of immune differentiation and stimulus-dependent gene activation, but only 10-20% directly alter recognizable transcription factor binding motifs. Rather, most non-coding risk variants, including those that alter gene expression, affect non-canonical sequence determinants not well-explained by current gene regulatory models.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336207/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336207/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Farh, Kyle Kai-How -- Marson, Alexander -- Zhu, Jiang -- Kleinewietfeld, Markus -- Housley, William J -- Beik, Samantha -- Shoresh, Noam -- Whitton, Holly -- Ryan, Russell J H -- Shishkin, Alexander A -- Hatan, Meital -- Carrasco-Alfonso, Marlene J -- Mayer, Dita -- Luckey, C John -- Patsopoulos, Nikolaos A -- De Jager, Philip L -- Kuchroo, Vijay K -- Epstein, Charles B -- Daly, Mark J -- Hafler, David A -- Bernstein, Bradley E -- 12-0089/Worldwide Cancer Research/United Kingdom -- AI039671/AI/NIAID NIH HHS/ -- AI045757/AI/NIAID NIH HHS/ -- AI046130/AI/NIAID NIH HHS/ -- AI070352/AI/NIAID NIH HHS/ -- ES017155/ES/NIEHS NIH HHS/ -- GM093080/GM/NIGMS NIH HHS/ -- HG004570/HG/NHGRI NIH HHS/ -- NS067305/NS/NINDS NIH HHS/ -- NS24247/NS/NINDS NIH HHS/ -- P01 AI039671/AI/NIAID NIH HHS/ -- P01 AI045757/AI/NIAID NIH HHS/ -- P30 DK063720/DK/NIDDK NIH HHS/ -- R01 NS024247/NS/NINDS NIH HHS/ -- R37 NS024247/NS/NINDS NIH HHS/ -- T32 GM007748/GM/NIGMS NIH HHS/ -- U01 ES017155/ES/NIEHS NIH HHS/ -- U19 AI046130/AI/NIAID NIH HHS/ -- U19 AI070352/AI/NIAID NIH HHS/ -- U54 HG004570/HG/NHGRI NIH HHS/ -- U54 HG006991/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Feb 19;518(7539):337-43. doi: 10.1038/nature13835. Epub 2014 Oct 29.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; Diabetes Center and Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, California 94143, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA [3] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA [4] Center for Systems Biology and Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Departments of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut 06511, USA. ; Departments of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut 06511, USA. ; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] California Institute of Technology, 1200 E California Boulevard, Pasadena, California 91125, USA. ; Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02142, USA [3] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02142, USA. ; Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25363779" target="_blank"〉PubMed〈/a〉
    Keywords: Autoimmune Diseases/*genetics/immunology/pathology ; Base Sequence ; Chromatin/genetics ; Consensus Sequence/genetics ; Enhancer Elements, Genetic/genetics ; Epigenesis, Genetic/*genetics ; Epigenomics ; Genome-Wide Association Study ; Humans ; Nucleotide Motifs ; Organ Specificity ; Polymorphism, Single Nucleotide/*genetics ; T-Lymphocytes/immunology/metabolism ; Transcription Factors/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2014-08-29
    Description: Genome function is dynamically regulated in part by chromatin, which consists of the histones, non-histone proteins and RNA molecules that package DNA. Studies in Caenorhabditis elegans and Drosophila melanogaster have contributed substantially to our understanding of molecular mechanisms of genome function in humans, and have revealed conservation of chromatin components and mechanisms. Nevertheless, the three organisms have markedly different genome sizes, chromosome architecture and gene organization. On human and fly chromosomes, for example, pericentric heterochromatin flanks single centromeres, whereas worm chromosomes have dispersed heterochromatin-like regions enriched in the distal chromosomal 'arms', and centromeres distributed along their lengths. To systematically investigate chromatin organization and associated gene regulation across species, we generated and analysed a large collection of genome-wide chromatin data sets from cell lines and developmental stages in worm, fly and human. Here we present over 800 new data sets from our ENCODE and modENCODE consortia, bringing the total to over 1,400. Comparison of combinatorial patterns of histone modifications, nuclear lamina-associated domains, organization of large-scale topological domains, chromatin environment at promoters and enhancers, nucleosome positioning, and DNA replication patterns reveals many conserved features of chromatin organization among the three organisms. We also find notable differences in the composition and locations of repressive chromatin. These data sets and analyses provide a rich resource for comparative and species-specific investigations of chromatin composition, organization and function.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227084/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227084/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ho, Joshua W K -- Jung, Youngsook L -- Liu, Tao -- Alver, Burak H -- Lee, Soohyun -- Ikegami, Kohta -- Sohn, Kyung-Ah -- Minoda, Aki -- Tolstorukov, Michael Y -- Appert, Alex -- Parker, Stephen C J -- Gu, Tingting -- Kundaje, Anshul -- Riddle, Nicole C -- Bishop, Eric -- Egelhofer, Thea A -- Hu, Sheng'en Shawn -- Alekseyenko, Artyom A -- Rechtsteiner, Andreas -- Asker, Dalal -- Belsky, Jason A -- Bowman, Sarah K -- Chen, Q Brent -- Chen, Ron A-J -- Day, Daniel S -- Dong, Yan -- Dose, Andrea C -- Duan, Xikun -- Epstein, Charles B -- Ercan, Sevinc -- Feingold, Elise A -- Ferrari, Francesco -- Garrigues, Jacob M -- Gehlenborg, Nils -- Good, Peter J -- Haseley, Psalm -- He, Daniel -- Herrmann, Moritz -- Hoffman, Michael M -- Jeffers, Tess E -- Kharchenko, Peter V -- Kolasinska-Zwierz, Paulina -- Kotwaliwale, Chitra V -- Kumar, Nischay -- Langley, Sasha A -- Larschan, Erica N -- Latorre, Isabel -- Libbrecht, Maxwell W -- Lin, Xueqiu -- Park, Richard -- Pazin, Michael J -- Pham, Hoang N -- Plachetka, Annette -- Qin, Bo -- Schwartz, Yuri B -- Shoresh, Noam -- Stempor, Przemyslaw -- Vielle, Anne -- Wang, Chengyang -- Whittle, Christina M -- Xue, Huiling -- Kingston, Robert E -- Kim, Ju Han -- Bernstein, Bradley E -- Dernburg, Abby F -- Pirrotta, Vincenzo -- Kuroda, Mitzi I -- Noble, William S -- Tullius, Thomas D -- Kellis, Manolis -- MacAlpine, David M -- Strome, Susan -- Elgin, Sarah C R -- Liu, Xiaole Shirley -- Lieb, Jason D -- Ahringer, Julie -- Karpen, Gary H -- Park, Peter J -- 092096/Wellcome Trust/United Kingdom -- 101863/Wellcome Trust/United Kingdom -- 54523/Wellcome Trust/United Kingdom -- 5RL9EB008539/EB/NIBIB NIH HHS/ -- K99 HG006259/HG/NHGRI NIH HHS/ -- K99HG006259/HG/NHGRI NIH HHS/ -- R01 GM098461/GM/NIGMS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- R37 GM048405/GM/NIGMS NIH HHS/ -- T32 GM071340/GM/NIGMS NIH HHS/ -- T32 HG002295/HG/NHGRI NIH HHS/ -- U01 HG004258/HG/NHGRI NIH HHS/ -- U01 HG004270/HG/NHGRI NIH HHS/ -- U01 HG004279/HG/NHGRI NIH HHS/ -- U01 HG004695/HG/NHGRI NIH HHS/ -- U01HG004258/HG/NHGRI NIH HHS/ -- U01HG004270/HG/NHGRI NIH HHS/ -- U01HG004279/HG/NHGRI NIH HHS/ -- U01HG004695/HG/NHGRI NIH HHS/ -- U54 CA121852/CA/NCI NIH HHS/ -- U54 HG004570/HG/NHGRI NIH HHS/ -- U54 HG006991/HG/NHGRI NIH HHS/ -- U54CA121852/CA/NCI NIH HHS/ -- U54HG004570/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Aug 28;512(7515):449-52. doi: 10.1038/nature13415.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3] [4] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3]. ; 1] Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, 450 Brookline Avenue, Boston, Massachusetts 02215, USA [3] [4] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA [2] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Department of Information and Computer Engineering, Ajou University, Suwon 443-749, Korea [2] Systems Biomedical Informatics Research Center, College of Medicine, Seoul National University, Seoul 110-799, Korea. ; 1] Department of Genome Dynamics, Life Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, USA [2] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA [3] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3] Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; The Gurdon Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK. ; 1] National Institute of General Medical Sciences, National Institutes of Health, Bethesda, Maryland 20892, USA [2] National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Department of Biology, Washington University in St. Louis, St. Louis, Missouri 63130, USA. ; 1] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA [2] Broad Institute, Cambridge, Massachusetts 02141, USA [3] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Department of Biology, Washington University in St. Louis, St. Louis, Missouri 63130, USA [2] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Program in Bioinformatics, Boston University, Boston, Massachusetts 02215, USA. ; Department of Molecular, Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, California 95064, USA. ; Department of Bioinformatics, School of Life Science and Technology, Tongji University, Shanghai 200092, China. ; 1] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854, USA [2] Food Science and Technology Department, Faculty of Agriculture, Alexandria University, 21545 El-Shatby, Alexandria, Egypt. ; Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA. ; Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Harvard/MIT Division of Health Sciences and Technology, Cambridge, Massachusetts 02139, USA. ; Department of Anatomy Physiology and Cell Biology, University of California Davis, Davis, California 95616, USA. ; Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA [2] Department of Biology, Center for Genomics and Systems Biology, New York University, New York, New York 10003, USA. ; National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA. ; Princess Margaret Cancer Centre, Toronto, Ontario M6G 1L7, Canada. ; 1] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA [2] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA. ; 1] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA [2] Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Department of Genome Dynamics, Life Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, USA [2] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA. ; Department of Molecular Biology, Cellular Biology and Biochemistry, Brown University, Providence, Rhode Island 02912, USA. ; Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98195, USA. ; 1] Department of Genome Dynamics, Life Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, USA [2] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA [3] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA. ; 1] Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854, USA [2] Department of Molecular Biology, Umea University, 901 87 Umea, Sweden. ; 1] Systems Biomedical Informatics Research Center, College of Medicine, Seoul National University, Seoul 110-799, Korea [2] Seoul National University Biomedical Informatics, Division of Biomedical Informatics, College of Medicine, Seoul National University, Seoul 110-799, Korea. ; 1] Broad Institute, Cambridge, Massachusetts 02141, USA [2] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA [3] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854, USA. ; 1] Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98195, USA [2] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; 1] Program in Bioinformatics, Boston University, Boston, Massachusetts 02215, USA [2] Department of Chemistry, Boston University, Boston, Massachusetts 02215, USA. ; 1] Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, 450 Brookline Avenue, Boston, Massachusetts 02215, USA [3] Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3] Informatics Program, Children's Hospital, Boston, Massachusetts 02215, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25164756" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/*cytology/*genetics ; Cell Line ; Centromere/genetics/metabolism ; Chromatin/chemistry/*genetics/*metabolism ; Chromatin Assembly and Disassembly/genetics ; DNA Replication/genetics ; Drosophila melanogaster/*cytology/*genetics ; Enhancer Elements, Genetic/genetics ; Epigenesis, Genetic ; Heterochromatin/chemistry/genetics/metabolism ; Histones/chemistry/metabolism ; Humans ; Molecular Sequence Annotation ; Nuclear Lamina/metabolism ; Nucleosomes/chemistry/genetics/metabolism ; Promoter Regions, Genetic/genetics ; Species Specificity
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2015-02-20
    Description: The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530010/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530010/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Roadmap Epigenomics Consortium -- Kundaje, Anshul -- Meuleman, Wouter -- Ernst, Jason -- Bilenky, Misha -- Yen, Angela -- Heravi-Moussavi, Alireza -- Kheradpour, Pouya -- Zhang, Zhizhuo -- Wang, Jianrong -- Ziller, Michael J -- Amin, Viren -- Whitaker, John W -- Schultz, Matthew D -- Ward, Lucas D -- Sarkar, Abhishek -- Quon, Gerald -- Sandstrom, Richard S -- Eaton, Matthew L -- Wu, Yi-Chieh -- Pfenning, Andreas R -- Wang, Xinchen -- Claussnitzer, Melina -- Liu, Yaping -- Coarfa, Cristian -- Harris, R Alan -- Shoresh, Noam -- Epstein, Charles B -- Gjoneska, Elizabeta -- Leung, Danny -- Xie, Wei -- Hawkins, R David -- Lister, Ryan -- Hong, Chibo -- Gascard, Philippe -- Mungall, Andrew J -- Moore, Richard -- Chuah, Eric -- Tam, Angela -- Canfield, Theresa K -- Hansen, R Scott -- Kaul, Rajinder -- Sabo, Peter J -- Bansal, Mukul S -- Carles, Annaick -- Dixon, Jesse R -- Farh, Kai-How -- Feizi, Soheil -- Karlic, Rosa -- Kim, Ah-Ram -- Kulkarni, Ashwinikumar -- Li, Daofeng -- Lowdon, Rebecca -- Elliott, GiNell -- Mercer, Tim R -- Neph, Shane J -- Onuchic, Vitor -- Polak, Paz -- Rajagopal, Nisha -- Ray, Pradipta -- Sallari, Richard C -- Siebenthall, Kyle T -- Sinnott-Armstrong, Nicholas A -- Stevens, Michael -- Thurman, Robert E -- Wu, Jie -- Zhang, Bo -- Zhou, Xin -- Beaudet, Arthur E -- Boyer, Laurie A -- De Jager, Philip L -- Farnham, Peggy J -- Fisher, Susan J -- Haussler, David -- Jones, Steven J M -- Li, Wei -- Marra, Marco A -- McManus, Michael T -- Sunyaev, Shamil -- Thomson, James A -- Tlsty, Thea D -- Tsai, Li-Huei -- Wang, Wei -- Waterland, Robert A -- Zhang, Michael Q -- Chadwick, Lisa H -- Bernstein, Bradley E -- Costello, Joseph F -- Ecker, Joseph R -- Hirst, Martin -- Meissner, Alexander -- Milosavljevic, Aleksandar -- Ren, Bing -- Stamatoyannopoulos, John A -- Wang, Ting -- Kellis, Manolis -- 5R24HD000836/HD/NICHD NIH HHS/ -- ES017166/ES/NIEHS NIH HHS/ -- F32 HL110473/HL/NHLBI NIH HHS/ -- F32HL110473/HL/NHLBI NIH HHS/ -- K99 HL119617/HL/NHLBI NIH HHS/ -- K99HL119617/HL/NHLBI NIH HHS/ -- P01 DA008227/DA/NIDA NIH HHS/ -- P30AG10161/AG/NIA NIH HHS/ -- P50 MH096890/MH/NIMH NIH HHS/ -- R01 AG015819/AG/NIA NIH HHS/ -- R01 AG017917/AG/NIA NIH HHS/ -- R01 ES024984/ES/NIEHS NIH HHS/ -- R01 ES024992/ES/NIEHS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01 HG007175/HG/NHGRI NIH HHS/ -- R01 HG007354/HG/NHGRI NIH HHS/ -- R01AG15819/AG/NIA NIH HHS/ -- R01AG17917/AG/NIA NIH HHS/ -- R01HG004037/HG/NHGRI NIH HHS/ -- R01HG004037-S1/HG/NHGRI NIH HHS/ -- R01NS078839/NS/NINDS NIH HHS/ -- RC1HG005334/HG/NHGRI NIH HHS/ -- RF1 AG015819/AG/NIA NIH HHS/ -- T32 ES007032/ES/NIEHS NIH HHS/ -- T32 GM007198/GM/NIGMS NIH HHS/ -- T32 GM007266/GM/NIGMS NIH HHS/ -- T32 GM081739/GM/NIGMS NIH HHS/ -- U01 ES017154/ES/NIEHS NIH HHS/ -- U01AG46152/AG/NIA NIH HHS/ -- U01DA025956/DA/NIDA NIH HHS/ -- U01ES017154/ES/NIEHS NIH HHS/ -- U01ES017155/ES/NIEHS NIH HHS/ -- U01ES017156/ES/NIEHS NIH HHS/ -- U01ES017166/ES/NIEHS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Feb 19;518(7539):317-30. doi: 10.1038/nature14248.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Genetics, Department of Computer Science, 300 Pasteur Dr., Lane Building, L301, Stanford, California 94305-5120, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Biological Chemistry, University of California, Los Angeles, 615 Charles E Young Dr South, Los Angeles, California 90095, USA. ; Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Department of Stem Cell and Regenerative Biology, 7 Divinity Ave, Cambridge, Massachusetts 02138, USA. ; Epigenome Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA. ; Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. ; Genomic Analysis Laboratory, Howard Hughes Medical Institute &The Salk Institute for Biological Studies, 10010 N. Torrey Pines Road, La Jolla, California 92037, USA. ; Department of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, Washington 98195, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Biology Department, Massachusetts Institute of Technology, 31 Ames St, Cambridge, Massachusetts 02142, USA. ; The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar St, Cambridge, Massachusetts 02139, USA. ; 1] Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Ludwig Institute for Cancer Research, 9500 Gilman Drive, La Jolla, California 92093, USA. ; Department of Neurosurgery, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd Street, San Francisco, California 94158, USA. ; Department of Pathology, University of California San Francisco, 513 Parnassus Avenue, San Francisco, California 94143-0511, USA. ; Department of Medicine, Division of Medical Genetics, University of Washington, 2211 Elliot Avenue, Seattle, Washington 98121, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Computer Science &Engineering, University of Connecticut, 371 Fairfield Way, Storrs, Connecticut 06269, USA. ; Department of Microbiology and Immunology and Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, British Columbia V6T 1Z4, Canada. ; Bioinformatics Group, Department of Molecular Biology, Division of Biology, Faculty of Science, University of Zagreb, Horvatovac 102a, 10000 Zagreb, Croatia. ; Department of Molecular and Cell Biology, Center for Systems Biology, The University of Texas, Dallas, NSERL, RL10, 800 W Campbell Road, Richardson, Texas 75080, USA. ; Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA. ; Institute for Molecular Bioscience, University of Queensland, St Lucia, Queensland 4072, Australia. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Brigham &Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA. ; 1] Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA. [2] Department of Computer Science and Engineeering, Washington University in St. Louis, St. Louis, Missouri 63130, USA. ; 1] Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794-3600, USA. [2] Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA. ; Molecular and Human Genetics Department, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA. ; Biology Department, Massachusetts Institute of Technology, 31 Ames St, Cambridge, Massachusetts 02142, USA. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Brigham &Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA. [3] Harvard Medical School, 25 Shattuck St, Boston, Massachusetts 02115, USA. ; Department of Biochemistry, Keck School of Medicine, University of Southern California, 1450 Biggy Street, Los Angeles, California 90089-9601, USA. ; ObGyn, Reproductive Sciences, University of California San Francisco, 35 Medical Center Way, San Francisco, California 94143, USA. ; Center for Biomolecular Sciences and Engineering, University of Santa Cruz, 1156 High Street, Santa Cruz, California 95064, USA. ; 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Molecular Biology and Biochemistry, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia V5A 1S6, Canada. [3] Department of Medical Genetics, University of British Columbia, 2329 West Mall, Vancouver, BC, Canada, V6T 1Z4. ; Dan L. Duncan Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA. ; 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Medical Genetics, University of British Columbia, 2329 West Mall, Vancouver, BC, Canada, V6T 1Z4. ; Department of Microbiology and Immunology, Diabetes Center, University of California, San Francisco, 513 Parnassus Ave, San Francisco, California 94143-0534, USA. ; 1] University of Wisconsin, Madison, Wisconsin 53715, USA. [2] Morgridge Institute for Research, 330 N. Orchard Street, Madison, Wisconsin 53707, USA. ; USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, Texas 77030, USA. ; 1] Department of Molecular and Cell Biology, Center for Systems Biology, The University of Texas, Dallas, NSERL, RL10, 800 W Campbell Road, Richardson, Texas 75080, USA. [2] Bioinformatics Division, Center for Synthetic and Systems Biology, TNLIST, Tsinghua University, Beijing 100084, China. ; National Institute of Environmental Health Sciences, 111 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, USA. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Massachusetts General Hospital, 55 Fruit St, Boston, Massachusetts 02114, USA. [3] Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, Maryland 20815-6789, USA. ; 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Microbiology and Immunology and Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, British Columbia V6T 1Z4, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25693563" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Cell Lineage/genetics ; Cells, Cultured ; Chromatin/chemistry/genetics/metabolism ; Chromosomes, Human/chemistry/genetics/metabolism ; DNA/chemistry/genetics/metabolism ; DNA Methylation ; Datasets as Topic ; Enhancer Elements, Genetic/genetics ; Epigenesis, Genetic/*genetics ; *Epigenomics ; Genetic Variation/genetics ; Genome, Human/*genetics ; Genome-Wide Association Study ; Histones/metabolism ; Humans ; Organ Specificity/genetics ; RNA/genetics ; Reference Values
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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    Publication Date: 1986-07-04
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Oppenheimer, M -- Epstein, C B -- Yuhnke, R E -- New York, N.Y. -- Science. 1986 Jul 4;233(4759):12-4.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17812878" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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    Description: The variation in sulfur dioxide emissions from nonferrous metal smelters in the western United States over a 4-year period is compared with the variation in sulfate concentrations in precipitation in the Rocky Mountain states. The data support a linear relation between emissions and sulfate concentration. The geographic separation of emissions sources and precipitation monitors indicates a sulfur transport scale exceeding 1000 kilometers.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Oppenheimer, M -- Epstein, C B -- Yuhnke, R E -- New York, N.Y. -- Science. 1985 Aug 30;229(4716):859-62.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17777926" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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    Publication Date: 2014-05-20
    Description: In a chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) experiment, an important consideration in experimental design is the minimum number of sequenced reads required to obtain statistically significant results. We present an extensive evaluation of the impact of sequencing depth on identification of enriched regions for key histone modifications (H3K4me3, H3K36me3, H3K27me3 and H3K9me2/me3) using deep-sequenced datasets in human and fly. We propose to define sufficient sequencing depth as the number of reads at which detected enrichment regions increase 〈1% for an additional million reads. Although the required depth depends on the nature of the mark and the state of the cell in each experiment, we observe that sufficient depth is often reached at 〈20 million reads for fly. For human, there are no clear saturation points for the examined datasets, but our analysis suggests 40–50 million reads as a practical minimum for most marks. We also devise a mathematical model to estimate the sufficient depth and total genomic coverage of a mark. Lastly, we find that the five algorithms tested do not agree well for broad enrichment profiles, especially at lower depths. Our findings suggest that sufficient sequencing depth and an appropriate peak-calling algorithm are essential for ensuring robustness of conclusions derived from ChIP-seq data.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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