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Christopher J. Mungall
Researcher at Lawrence Berkeley National Laboratory
Publications - 279
Citations - 48324
Christopher J. Mungall is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Ontology (information science) & Open Biomedical Ontologies. The author has an hindex of 76, co-authored 242 publications receiving 40589 citations. Previous affiliations of Christopher J. Mungall include Howard Hughes Medical Institute & J. Craig Venter Institute.
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Journal ArticleDOI
Reactome and the Gene Ontology: Digital convergence of data resources.
Benjamin M. Good,Kimberly Van Auken,David P. Hill,Huaiyu Mi,Seth Carbon,James P. Balhoff,Laurent-Philippe Albou,Paul Thomas,Christopher J. Mungall,Judith A. Blake,Peter D'Eustachio +10 more
TL;DR: Pathways2GO as mentioned in this paper is a software tool to convert the entire set of normal human Reactome pathways into GO-CAMs, yielding standard GO annotations from Reactome content and supporting enhanced quality control for both Reactome and GO, yielding a nearly seamless conversion between these two resources.
Uberon, an integrative multi-species anatomy
Christopher J. Mungall,Carlo Torniai,Georgios V. Gkoutos,Suzanna E. Lewis,Melissa A. Haendel +4 more
TL;DR: Uberon is presented, an integrated cross-species ontology consisting of over 6,500 classes representing a variety of anatomical entities, organized according to traditional anatomical classification criteria, allowing integration of model organism and human data.
Posted ContentDOI
Use of OWL within the Gene Ontology
TL;DR: The Gene Ontology (GO) as mentioned in this paper is one of the most well-known ontologies in or outside the life sciences and is well-axiomatized in OWL and highly dependent on the OWL tool stack.
Journal ArticleDOI
The Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST).
Vasundra Touré,Steven Vercruysse,Marcio Luis Acencio,Ruth C. Lovering,Sandra Orchard,Glyn Bradley,Cristina Casals-Casas,Claudine Chaouiya,Noemi del-Toro,Åsmund Flobak,Pascale Gaudet,Henning Hermjakob,Charles Tapley Hoyt,Luana Licata,Astrid Lægreid,Christopher J. Mungall,Anne Niknejad,Simona Panni,Livia Perfetto,Pablo Porras,Dexter Pratt,Julio Saez-Rodriguez,Julio Saez-Rodriguez,Denis Thieffry,Paul Thomas,Dénes Türei,Martin Kuiper +26 more
TL;DR: A checklist that accommodates current representations of causal relationships between biological components, called the Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST), which can be used as reporting guidelines when annotating and curating causal statements, while fostering uniformity and interoperability of the data across resources.
ROBOT: A command-line tool for ontology development
TL;DR: ROBOT is a command-line tool for working with ontologies, especially Open Biomedical Ontologies, which builds on OWLAPI and is designed to eventually replace Oort and many functions of OWLTools.