Author

Raymond D. Schellevis

University Medical Center Utrecht

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Ahmad Al KhleifatiD· 2 shared Aleksey ShatunoviD· 2 shared Ammar Al‐ChalabiiD· 2 shared Christopher E. ShawiD· 2 shared Gijs H.P. Tazelaar· 2 shared Jan Herman VeldinkiD· 2 shared Joke J.F.A. van VugtiD· 2 shared Karen E. MorrisoniD· 2 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetics

Ahmad Al KhleifatORCID

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2 papers

Recent·Most cited

Project MinE: study design and pilot analyses of a large-scale whole-genome sequencing study in amyotrophic lateral sclerosis

Wouter van Rheenen, Sara L. Pulit, Annelot M. Dekker, Ahmad Al Khleifat, William J. Brands, Alfredo Iacoangeli, Kevin Patrick Kenna, Maarten Kooyman, Russell Lewis McLaughlin, Bas M Middelkoop, Matthieu Moisse, Raymond D. Schellevis, Aleksey Shatunov, William Sproviero, Gijs H.P. Tazelaar, , Jan Herman Veldink

Project MinE analyzes whole-genome sequencing data from ALS patients and controls to study genetic variation and its implications for disease susceptibility.

European Journal of Human Genetics · Jun 28, 2018Peer-reviewedGenetics

Detection of long repeat expansions from PCR-free whole-genome sequence data

Egor Dolzhenko, Joke J.F.A. van Vugt, Richard J. Shaw, Mitchell A. Bekritsky, Marka van Blitterswijk, Giuseppe Narzisi, Subramanian S. Ajay, Vani Rajan, Bryan R. Lajoie, Nathan Johnson, Zoya Kingsbury, Sean Humphray, Raymond D. Schellevis, William J. Brands, Matt C. Baker, , Michael A. Eberle

The paper introduces ExpansionHunter, a tool for detecting long repeat expansions from PCR-free WGS data, achieving high sensitivity and specificity in identifying pathogenic expansions.

Genome Research · Nov 1, 2017Peer-reviewedBioinformatics