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Janna Hastings

Researcher at University College London

Publications -  142
Citations -  6671

Janna Hastings is an academic researcher from University College London. The author has contributed to research in topics: Ontology (information science) & Computer science. The author has an hindex of 30, co-authored 124 publications receiving 5306 citations. Previous affiliations of Janna Hastings include University of Geneva & University of Cambridge.

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ChEBI: a database and ontology for chemical entities of biological interest

TL;DR: A dictionary of molecular entities focused on ‘small’ chemical compounds and an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified.
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ChEBI in 2016: Improved services and an expanding collection of metabolites.

TL;DR: This update paper has substantially extended the collection of endogenous metabolites for several organisms including human, mouse, Escherichia coli and yeast and added two new tools, namely an analysis tool, BiNChE, and a query tool for the ontology, OntoQuery.
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ClassyFire: automated chemical classification with a comprehensive, computable taxonomy

TL;DR: A comprehensive, flexible, and computable, purely structure-based chemical taxonomy (ChemOnt) is developed along with a computer program (ClassyFire) that uses only chemical structures and structural features to automatically assign all known chemical compounds to a taxonomy consisting of >4800 different categories.
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MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data

TL;DR: The MetaboLights repository, powered by the open source ISA framework, is cross-species and cross-technique and will cover metabolite structures and their reference spectra as well as their biological roles, locations, concentrations and raw data from metabolic experiments.
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The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013

TL;DR: This work has completely aligned the ontology with the Open Biomedical Ontologies (OBO) Foundry-recommended upper level Basic Formal Ontology, and as a result of this effort, the majority of chemical-involving processes in GO are now defined in terms of the ChEBI entities that participate in them.