2023 - Research.com Social Sciences and Humanities in Canada Leader Award
2015 - Fellow of the Royal Society of Canada Academy of Social Sciences
2001 - Fellow of the American Association for the Advancement of Science (AAAS)
Bartha Maria Knoppers spends much of his time researching Genomics, Genetics, Data sharing, Biobank and Data science. His Genomics research incorporates themes from Disease, Computational biology, Whole genome sequencing and MEDLINE. His work on Genetics deals in particular with Human genome, Haplotype, Genetic association and Genetic variation.
The concepts of his Data sharing study are interwoven with issues in Information Dissemination, Data access, Research ethics and Knowledge management. His Biobank research is multidisciplinary, incorporating elements of Disease etiology, Engineering ethics, Return of results, General partnership and Social science. His International HapMap Project research integrates issues from Imputation and Haplotype estimation.
The scientist’s investigation covers issues in Engineering ethics, Biobank, Public relations, Data sharing and Research ethics. His Engineering ethics study combines topics from a wide range of disciplines, such as Bioethics, Corporate governance and Informed consent. His study explores the link between Informed consent and topics such as Confidentiality that cross with problems in MEDLINE.
His research on Biobank frequently connects to adjacent areas such as Return of results. His research integrates issues of Context and Health care in his study of Public relations. As a member of one scientific family, Bartha Maria Knoppers mostly works in the field of Data sharing, focusing on Data science and, on occasion, Genomic research.
Bartha Maria Knoppers mainly focuses on Data sharing, Data science, Engineering ethics, MEDLINE and Public relations. The Data sharing study combines topics in areas such as Knowledge management, Data access, Alliance, Genomics and Resource. His research ties Medical education and Genomics together.
His studies in Data science integrate themes in fields like mHealth, Context, Dimension and Big data. His work deals with themes such as Corporate governance and Human rights, which intersect with Engineering ethics. The Public relations study which covers Diversity that intersects with International law.
His primary areas of study are Data sharing, Data science, Genomics, Return of results and Best practice. His study in Data sharing is interdisciplinary in nature, drawing from both Commons, Internet privacy and Alliance. The Data science study combines topics in areas such as MEDLINE, Resource, Shared resource, Suite and Big data.
His work on Bermuda Principles as part of general Genomics study is frequently linked to Scientific priority, bridging the gap between disciplines. Bartha Maria Knoppers has researched Return of results in several fields, including Biobank, Divergence, Corporate governance and Research ethics. His Best practice research integrates issues from Data quality, Legislature, Convergence and Public relations.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A global reference for human genetic variation.
Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin.
(2015)
The International HapMap Project
John W. Belmont;Paul Hardenbol;Thomas D. Willis;Fuli Yu.
(2003)
A haplotype map of the human genome
John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol.
(2005)
A second generation human haplotype map of over 3.1 million SNPs
Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds.
(2007)
Genome-wide detection and characterization of positive selection in human populations
Pardis C. Sabeti;Pardis C. Sabeti;Patrick Varilly;Patrick Varilly;Ben Fry;Jason Lohmueller.
(2007)
International network of cancer genome projects
Thomas J. Hudson;Thomas J. Hudson;Warwick Anderson;Axel Aretz;Anna D. Barker.
(2010)
Pan-cancer analysis of whole genomes
Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart.
(2020)
Mapping copy number variation by population-scale genome sequencing
Ryan E. Mills;Klaudia Walter;Chip Stewart;Robert E. Handsaker.
(2011)
A global reference for human genetic variation
Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin.
(2015)
Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder
Ryan K C Yuen;Daniele Merico;Matt Bookman;Jennifer L. Howe.
(2017)
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