Chris Mungall
Overview
Explore the profile of Chris Mungall including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
28
Citations
3788
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Kelliher J, Xu Y, Flynn M, Babinski M, Canon S, Cavanna E, et al.
Comput Struct Biotechnol J
. 2025 Feb;
23:3575-3583.
PMID: 39963423
Accessible and easy-to-use standardized bioinformatics workflows are necessary to advance microbiome research from observational studies to large-scale, data-driven approaches. Standardized multi-omics data enables comparative studies, data reuse, and applications of...
2.
Clark T, Caufield H, Parker J, Al Manir S, Amorim E, Eddy J, et al.
bioRxiv
. 2024 Nov;
PMID: 39484409
Biomedical research and clinical practice are in the midst of a transition toward significantly increased use of artificial intelligence (AI) and machine learning (ML) methods. These advances promise to enable...
3.
Wright A, Wilkinson M, Mungall C, Cain S, Richards S, Sternberg P, et al.
bioRxiv
. 2023 Dec;
PMID: 38076838
The lack of interoperable data standards among reference genome data-sharing platforms inhibits cross-platform analysis while increasing the risk of data provenance loss. Here, we describe the FAIR-bioHeaders Reference genome (FHR),...
4.
Vangay P, Burgin J, Johnston A, Beck K, Berrios D, Blumberg K, et al.
mSystems
. 2021 May;
6(3).
PMID: 33947809
No abstract available.
5.
Vangay P, Burgin J, Johnston A, Beck K, Berrios D, Blumberg K, et al.
mSystems
. 2021 Feb;
6(1).
PMID: 33622857
Microbiome samples are inherently defined by the environment in which they are found. Therefore, data that provide context and enable interpretation of measurements produced from biological samples, often referred to...
6.
Haendel M, Vasilevsky N, Unni D, Bologa C, Harris N, Rehm H, et al.
Nat Rev Drug Discov
. 2020 Feb;
19(2):77-78.
PMID: 32020066
No abstract available.
7.
Kohler S, Carmody L, Vasilevsky N, Jacobsen J, Danis D, Gourdine J, et al.
Nucleic Acids Res
. 2018 Nov;
47(D1):D1018-D1027.
PMID: 30476213
The Human Phenotype Ontology (HPO)-a standardized vocabulary of phenotypic abnormalities associated with 7000+ diseases-is used by thousands of researchers, clinicians, informaticians and electronic health record systems around the world. Its...
8.
Giglio M, Tauber R, Nadendla S, Munro J, Olley D, Ball S, et al.
Nucleic Acids Res
. 2018 Nov;
47(D1):D1186-D1194.
PMID: 30407590
The Evidence and Conclusion Ontology (ECO) contains terms (classes) that describe types of evidence and assertion methods. ECO terms are used in the process of biocuration to capture the evidence...
9.
Vasilevsky N, Foster E, Engelstad M, Carmody L, Might M, Chambers C, et al.
Nat Genet
. 2018 Apr;
50(4):474-476.
PMID: 29632381
No abstract available.
10.
Matentzoglu N, Malone J, Mungall C, Stevens R
J Biomed Semantics
. 2018 Jan;
9(1):6.
PMID: 29347969
Background: Creation and use of ontologies has become a mainstream activity in many disciplines, in particular, the biomedical domain. Ontology developers often disseminate information about these ontologies in peer-reviewed ontology...