Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Fleur Kelpin"'
Autor:
Dennis Hendriksen, Hans L. Hillege, Jonathan Jetten, Erwin Winder, Dany Doiron, Bart Charbon, Isabel Fortier, Fleur Kelpin, David van Enckevort, Tommy de Boer, Chao Pang, Mark de Haan, K. Joeri van der Velde, Morris A. Swertz
Publikováno v:
Bioinformatics, 32(14), 2176-2183. Oxford University Press
Bioinformatics
Bioinformatics
Motivation: While the size and number of biobanks, patient registries and other data collections are increasing, biomedical researchers still often need to pool data for statistical power, a task that requires time-intensive retrospective integration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cc82739d9b4736f42c7f76c7829f199
https://doi.org/10.1093/bioinformatics/btw155
https://doi.org/10.1093/bioinformatics/btw155
Autor:
Bart Charbon, Floris Imhann, Mark de Haan, K. Joeri van der Velde, Rinse K. Weersma, Fleur Kelpin, Ruggero Barbieri, Sido Haakma, Morris A. Swertz, Eleonora A. M. Festen, Dennis Hendriksen, Tommy de Boer, Rudi Alberts, Gert-Jan M. van de Geijn, Connor Stroomberg, Chao Pang, David van Enckevort, Salome Scholtens, Mariska Slofstra
Publikováno v:
Bioinformatics
Bioinformatics (Oxford, England), 35(6), 1076-1078. Oxford University Press
Bioinformatics (Oxford, England), 35(6), 1076-1078. Oxford University Press
Motivation The volume and complexity of biological data increases rapidly. Many clinical professionals and biomedical researchers without a bioinformatics background are generating big ’-omics’ data, but do not always have the tools to manage, pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4709459e8dc1f9a07d92d36791f11631
https://pubmed.ncbi.nlm.nih.gov/30165396
https://pubmed.ncbi.nlm.nih.gov/30165396
Autor:
Morris A. Swertz, Luiz Olavo Bonino da Silva Santos, Erik M. van Mulligen, Michel Dumontier, Arnold Kuzniar, Mark Thompson, Paolo Ciccarese, Timothy Clark, Fleur Kelpin, Ruben Verborgh, Alasdair J. G. Gray, Anand Gavai, Mark Wilkinson, Erik Anthony Schultes, Jerven Bolleman, Rajaram Kaliyaperumal
Publikováno v:
PEERJ COMPUTER SCIENCE
PeerJ Computer Science, Vol 3, p e110 (2017)
Peerj computer science. PEERJ INC
PeerJ Computer Science. PeerJ
PeerJ Computer Science, Vol 3, p e110 (2017)
Peerj computer science. PEERJ INC
PeerJ Computer Science. PeerJ
Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24cea76a031205a2af3ff6753cdcc5f8
https://hdl.handle.net/1854/LU-8518457
https://hdl.handle.net/1854/LU-8518457
Autor:
Anna Sijtsma, Bart Charbon, Chao Pang, Dennis Hendriksen, K. Joeri van der Velde, Jonathan Jetten, Nynke Smidt, Hans L. Hillege, Morris A. Swertz, Fleur Kelpin, Annet Sollie, Mark de Haan, Tommy de Boer, Rolf H. Sijmons
Publikováno v:
Database: The Journal of Biological Databases and Curation
Database-The journal of biological databases and curation, 2015:bav089. Oxford University Press
Database-The journal of biological databases and curation, 2015:bav089. Oxford University Press
There is an urgent need to standardize the semantics of biomedical data values, such as phenotypes, to enable comparative and integrative analyses. However, it is unlikely that all studies will use the same data collection protocols. As a result, ret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96f5e8a535d291b52ef8463abf0b5beb
https://doi.org/10.1093/database/bav089
https://doi.org/10.1093/database/bav089
Autor:
Kaisa Silander, Hans L. Hillege, Petr Holub, Dennis Hendriksen, Tommy de Boer, Bart Charbon, Niina Eklund, Jonathan Jetten, David van Enckevort, Chao Pang, Mark de Haan, Fleur Kelpin, Morris A. Swertz
Publikováno v:
Bioinformatics
Bioinformatics, 33(22), 3627-3634. Oxford University Press
Bioinformatics, 33(22), 3627-3634. Oxford University Press
Motivation Biobanks are indispensable for large-scale genetic/epidemiological studies, yet it remains difficult for researchers to determine which biobanks contain data matching their research questions. Results To overcome this, we developed a new m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb751987b3abcf99b36af3aaa6800ed3