000144015 001__ 144015
000144015 005__ 20240229112614.0
000144015 0247_ $$2doi$$a10.1371/journal.pone.0218103
000144015 0247_ $$2pmid$$apmid:31194780
000144015 0247_ $$2altmetric$$aaltmetric:62348091
000144015 037__ $$aDKFZ-2019-01566
000144015 041__ $$aeng
000144015 082__ $$a610
000144015 1001_ $$aSlynko, Alla$$b0
000144015 245__ $$aStatistical methods for classification of 5hmC levels based on the Illumina Inifinium HumanMethylation450 (450k) array data, under the paired bisulfite (BS) and oxidative bisulfite (oxBS) treatment.
000144015 260__ $$aSan Francisco, California, US$$bPLOS$$c2019
000144015 3367_ $$2DRIVER$$aarticle
000144015 3367_ $$2DataCite$$aOutput Types/Journal article
000144015 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1560944537_8584
000144015 3367_ $$2BibTeX$$aARTICLE
000144015 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000144015 3367_ $$00$$2EndNote$$aJournal Article
000144015 520__ $$aHydroxymethylcytosine (5hmC) methylation is a well-known epigenetic mark that is involved in gene regulation and may impact genome stability. To investigate a possible role of 5hmC in cancer development and progression, one must be able to detect and quantify its level first. In this paper, we address the issue of 5hmC detection at a single base resolution, starting with consideration of the well-established 5hmC measure Δβ and, in particular, with an analysis of its properties, both analytically and empirically. Then we propose several alternative hydroxymethylation measures and compare their properties with those of Δβ. In the absence of a gold standard, the (pairwise) resemblance of those 5hmC measures to Δβ is characterized by means of a similarity analysis and relative accuracy analysis. All results are illustrated on matched healthy and cancer tissue data sets as derived by means of bisulfite (BS) and oxidative bisulfite converting (oxBS) procedures.
000144015 536__ $$0G:(DE-HGF)POF3-313$$a313 - Cancer risk factors and prevention (POF3-313)$$cPOF3-313$$fPOF III$$x0
000144015 588__ $$aDataset connected to CrossRef, PubMed,
000144015 7001_ $$0P:(DE-He78)e15dfa1260625c69d6690a197392a994$$aBenner, Axel$$b1$$eLast author$$udkfz
000144015 773__ $$0PERI:(DE-600)2267670-3$$a10.1371/journal.pone.0218103$$gVol. 14, no. 6, p. e0218103 -$$n6$$pe0218103 -$$tPLOS ONE$$v14$$x1932-6203$$y2019
000144015 909CO $$ooai:inrepo02.dkfz.de:144015$$pVDB
000144015 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)e15dfa1260625c69d6690a197392a994$$aDeutsches Krebsforschungszentrum$$b1$$kDKFZ
000144015 9131_ $$0G:(DE-HGF)POF3-313$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vCancer risk factors and prevention$$x0
000144015 9141_ $$y2019
000144015 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPLOS ONE : 2017
000144015 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000144015 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000144015 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000144015 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central
000144015 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000144015 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000144015 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Peer review
000144015 915__ $$0LIC:(DE-HGF)CCBYNV$$2V:(DE-HGF)$$aCreative Commons Attribution CC BY (No Version)$$bDOAJ
000144015 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000144015 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000144015 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000144015 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000144015 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000144015 915__ $$0StatID:(DE-HGF)1040$$2StatID$$aDBCoverage$$bZoological Record
000144015 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000144015 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000144015 9201_ $$0I:(DE-He78)C060-20160331$$kC060$$lBiostatistik$$x0
000144015 980__ $$ajournal
000144015 980__ $$aVDB
000144015 980__ $$aI:(DE-He78)C060-20160331
000144015 980__ $$aUNRESTRICTED