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Nicole Vasilevsky
Nicole Vasilevsky
Critical Path Institute
Verified email at tislab.org
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Cited by
Cited by
Year
The human phenotype ontology in 2017
S Köhler, NA Vasilevsky, M Engelstad, E Foster, J McMurry, S Aymé, ...
Nucleic acids research 45 (D1), D865-D876, 2017
8092017
The human phenotype ontology in 2021
S Köhler, M Gargano, N Matentzoglu, LC Carmody, D Lewis-Smith, ...
Nucleic acids research 49 (D1), D1207-D1217, 2021
7292021
Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources
S Köhler, L Carmody, N Vasilevsky, JOB Jacobsen, D Danis, JP Gourdine, ...
Nucleic acids research 47 (D1), D1018-D1027, 2019
6582019
The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species
CJ Mungall, JA McMurry, S Köhler, JP Balhoff, C Borromeo, M Brush, ...
Nucleic acids research 45 (D1), D712-D722, 2017
3022017
How many rare diseases are there?
M Haendel, N Vasilevsky, D Unni, C Bologa, N Harris, H Rehm, ...
Nature reviews drug discovery 19 (2), 77-78, 2020
2812020
On the reproducibility of science: unique identification of research resources in the biomedical literature
NA Vasilevsky, MH Brush, H Paddock, L Ponting, SJ Tripathy, ...
PeerJ 1, e148, 2013
2642013
The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability
AD Diehl, TF Meehan, YM Bradford, MH Brush, WM Dahdul, DS Dougall, ...
Journal of biomedical semantics 7, 1-10, 2016
2242016
The human phenotype ontology: semantic unification of common and rare disease
T Groza, S Köhler, D Moldenhauer, N Vasilevsky, G Baynam, T Zemojtel, ...
The American Journal of Human Genetics 97 (1), 111-124, 2015
2222015
The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species
KA Shefchek, NL Harris, M Gargano, N Matentzoglu, D Unni, M Brush, ...
Nucleic acids research 48 (D1), D704-D715, 2020
1892020
The Resource Identification Initiative: A cultural shift in publishing
A Bandrowski, M Brush, JS Grethe, MA Haendel, DN Kennedy, S Hill, ...
Neuroinformatics 14, 169-182, 2016
1752016
Characterizing long COVID: deep phenotype of a complex condition
RR Deer, MA Rock, N Vasilevsky, L Carmody, H Rando, AJ Anzalone, ...
EBioMedicine 74, 2021
1642021
Reproducible and reusable research: are journal data sharing policies meeting the mark?
NA Vasilevsky, J Minnier, MA Haendel, RE Champieux
PeerJ 5, e3208, 2017
1272017
OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies
R Jackson, N Matentzoglu, JA Overton, R Vita, JP Balhoff, PL Buttigieg, ...
Database 2021, baab069, 2021
1202021
Computational evaluation of exome sequence data using human and model organism phenotypes improves diagnostic efficiency
WP Bone, NL Washington, OJ Buske, DR Adams, J Davis, D Draper, ...
Genetics in Medicine 18 (6), 608-617, 2016
962016
Dealing with data: A case study on information and data management literacy
MA Haendel, NA Vasilevsky, JA Wirz
PLoS biology 10 (5), e1001339, 2012
862012
Navigating the phenotype frontier: the monarch initiative
JA McMurry, S Köhler, NL Washington, JP Balhoff, C Borromeo, M Brush, ...
Genetics 203 (4), 1491-1495, 2016
652016
Is authorship sufficient for today’s collaborative research? A call for contributor roles
NA Vasilevsky, M Hosseini, S Teplitzky, V Ilik, E Mohammadi, J Schneider, ...
Accountability in Research 28 (1), 23-43, 2021
572021
Effect of impact factor and discipline on journal data sharing policies
DB Resnik, M Morales, R Landrum, M Shi, J Minnier, NA Vasilevsky, ...
Accountability in research 26 (3), 139-156, 2019
522019
Research resources: curating the new eagle-i discovery system
N Vasilevsky, T Johnson, K Corday, C Torniai, M Brush, E Segerdell, ...
Database 2012, bar067, 2012
432012
The GA4GH Phenopacket schema defines a computable representation of clinical data
JOB Jacobsen, M Baudis, GS Baynam, JS Beckmann, S Beltran, ...
Nature biotechnology 40 (6), 817-820, 2022
422022
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