Elmar Weinhold

Prof. Elmar Weinhold


Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 July 2010 in Angewandte Chemie International Edition
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Journal Article
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WPWibke Peters
Wibke Peters
SWSophie Willnow
Sophie Willnow
MDMike Duisken
Mike Duisken
HKHenning Kleine
Henning Kleine
TMThomas Macherey
Thomas Macherey
EWElmar Weinhold
Elmar Weinhold

30 April 2012 in ChemBioChem
Verified
Journal Article
Closed access
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SWSophie Willnow
Sophie Willnow
MMMichael Martin
Michael Martin
BLBernhard Lüscher
Bernhard Lüscher
EWElmar Weinhold
Elmar Weinhold

22 November 2006 in Nature Protocols
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Journal Article
Closed access
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CDChristian Dalhoff
Christian Dalhoff
GLGrazvydas Lukinavicius
Grazvydas Lukinavicius
SKSaulius Klimašauskas
Saulius Klimašauskas
EWElmar Weinhold
Elmar Weinhold

20 January 2010 in ChemBioChem
Verified
Journal Article
Closed access
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CDChristian Dalhoff
Christian Dalhoff
MHMichael Hüben
Michael Hüben
TLThomas Lenz
Thomas Lenz
PPPeter Poot
Peter Poot
ENEckhard Nordhoff
Eckhard Nordhoff
EWElmar Weinhold
Elmar Weinhold

22 August 2003 in Angewandte Chemie International Edition
Verified
Journal Article
Closed access
PDF file
CBChristine Beuck
Christine Beuck
Ishwar SinghIshwar Singh
Ishwar Singh
ABAnupam Bhattacharya
Anupam Bhattacharya
WHWalburga Hecker
Walburga Hecker
VPVirinder S. Parmar
Virinder S. Parmar
EWElmar Weinhold
Elmar Weinhold

7 March 2019 in Genome Research
Verified
Journal Article
Open access
PDF file
HSHila Sharim
Hila Sharim
AGAssaf Grunwald
Assaf Grunwald
TGTslil Gabrieli
Tslil Gabrieli
YMYael Michaeli
Yael Michaeli
SMSapir Margalit
Sapir Margalit
YEYuval Ebenstein
Yuval Ebenstein
We report on the development of a methylation analysis workflow for optical detection of fluorescent methylation profiles along chromosomal DNA molecules. In combination with Bionano Genomics genome mapping technology, these profiles provide a hybrid genetic/epigenetic genome-wide map composed of DNA molecules spanning hundreds of kilobase pairs. The method provides kilobase pair–scale genomic methylation patterns comparable to whole-genome bisulfite sequencing (WGBS) along genes and regulatory elements. These long single-molecule reads allow for methylation variation calling and analysis of large structural aberrations such as pathogenic macrosatellite arrays not accessible to single-cell second-generation sequencing. The method is applied here to study facioscapulohumeral muscular dystrophy (FSHD), simultaneously recording the haplotype, copy number, and methylation status of the disease-associated, highly repetitive locus on Chromosome 4q.