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dc.contributor.authorLibbrecht, Maxwell W.
dc.contributor.authorRodriguez, Oscar L.
dc.contributor.authorWeng, Zhiping
dc.contributor.authorBilmes, Jeffrey A.
dc.contributor.authorHoffman, Michael M.
dc.contributor.authorNoble, William Stafford
dc.date2022-08-11T08:09:54.000
dc.date.accessioned2022-08-23T16:47:51Z
dc.date.available2022-08-23T16:47:51Z
dc.date.issued2019-08-28
dc.date.submitted2019-09-16
dc.identifier.citation<p>Genome Biol. 2019 Aug 28;20(1):180. doi: 10.1186/s13059-019-1784-2. <a href="https://doi.org/10.1186/s13059-019-1784-2">Link to article on publisher's site</a></p>
dc.identifier.issn1474-7596 (Linking)
dc.identifier.doi10.1186/s13059-019-1784-2
dc.identifier.pmid31462275
dc.identifier.urihttp://hdl.handle.net/20.500.14038/41159
dc.description.abstractSemi-automated genome annotation methods such as Segway take as input a set of genome-wide measurements such as of histone modification or DNA accessibility and output an annotation of genomic activity in the target cell type. Here we present annotations of 164 human cell types using 1615 data sets. To produce these annotations, we automated the label interpretation step to produce a fully automated annotation strategy. Using these annotations, we developed a measure of the importance of each genomic position called the "conservation-associated activity score." We further combined all annotations into a single, cell type-agnostic encyclopedia that catalogs all human regulatory elements.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=31462275&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rights© The Author(s). 2019 Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectChromatin
dc.subjectGenomics
dc.subjectMachine learning
dc.subjectArtificial Intelligence and Robotics
dc.subjectBiochemistry
dc.subjectComputational Biology
dc.subjectGenetic Phenomena
dc.subjectGenomics
dc.subjectMolecular Biology
dc.subjectTheory and Algorithms
dc.titleA unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell types
dc.typeJournal Article
dc.source.journaltitleGenome biology
dc.source.volume20
dc.source.issue1
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=4964&amp;context=oapubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/3948
dc.identifier.contextkey15341049
refterms.dateFOA2022-08-23T16:47:51Z
html.description.abstract<p>Semi-automated genome annotation methods such as Segway take as input a set of genome-wide measurements such as of histone modification or DNA accessibility and output an annotation of genomic activity in the target cell type. Here we present annotations of 164 human cell types using 1615 data sets. To produce these annotations, we automated the label interpretation step to produce a fully automated annotation strategy. Using these annotations, we developed a measure of the importance of each genomic position called the "conservation-associated activity score." We further combined all annotations into a single, cell type-agnostic encyclopedia that catalogs all human regulatory elements.</p>
dc.identifier.submissionpathoapubs/3948
dc.contributor.departmentProgram in Bioinformatics and Integrative Biology
dc.source.pages180


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© The Author(s). 2019 Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Except where otherwise noted, this item's license is described as © The Author(s). 2019 Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.