Author-sourced capture of pathway knowledge in computable form using Biofactoid
Autor: | Jeffrey V. Wong, Özgün Babur, Benjamin M. Gyori, Emek Demir, Augustin Luna, Chris Sander, Funda Durupinar, Igor Rodchenkov, Max Franz, Dylan Fong, John A. Bachman, Christian Dallago, Gary D. Bader, John M Giorgi, Metin Can Siper |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Databases
Factual Computer science QH301-705.5 Systems biology Science Pilot Projects Genomics General Biochemistry Genetics and Molecular Biology None Knowledge sources Computational analysis Biology (General) curation tool General Immunology and Microbiology General Neuroscience Interpretation (philosophy) Feature Article Representation (systemics) Computational Biology Genetics and Genomics General Medicine crowdsource Data science science forum pathway analysis Medicine knowledge base Computational and Systems Biology |
Zdroj: | eLife, Vol 10 (2021) eLife |
Popis: | Making the knowledge contained in scientific papers machine-readable and formally computable would allow researchers to take full advantage of this information by enabling integration with other knowledge sources to support data analysis and interpretation. Here we describe Biofactoid, a web-based platform that allows scientists to specify networks of interactions between genes, their products, and chemical compounds, and then translates this information into a representation suitable for computational analysis, search and discovery. We also report the results of a pilot study to encourage the wide adoption of Biofactoid by the scientific community. |
Databáze: | OpenAIRE |
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