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Author-sourced capture of pathway knowledge in computable form using Biofactoid
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 p...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683078/ https://www.ncbi.nlm.nih.gov/pubmed/34860157 http://dx.doi.org/10.7554/eLife.68292 |
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author | Wong, Jeffrey V Franz, Max Siper, Metin Can Fong, Dylan Durupinar, Funda Dallago, Christian Luna, Augustin Giorgi, John Rodchenkov, Igor Babur, Özgün Bachman, John A Gyori, Benjamin M Demir, Emek Bader, Gary D Sander, Chris |
author_facet | Wong, Jeffrey V Franz, Max Siper, Metin Can Fong, Dylan Durupinar, Funda Dallago, Christian Luna, Augustin Giorgi, John Rodchenkov, Igor Babur, Özgün Bachman, John A Gyori, Benjamin M Demir, Emek Bader, Gary D Sander, Chris |
author_sort | Wong, Jeffrey V |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8683078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-86830782021-12-20 Author-sourced capture of pathway knowledge in computable form using Biofactoid Wong, Jeffrey V Franz, Max Siper, Metin Can Fong, Dylan Durupinar, Funda Dallago, Christian Luna, Augustin Giorgi, John Rodchenkov, Igor Babur, Özgün Bachman, John A Gyori, Benjamin M Demir, Emek Bader, Gary D Sander, Chris eLife Computational and Systems Biology 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. eLife Sciences Publications, Ltd 2021-12-03 /pmc/articles/PMC8683078/ /pubmed/34860157 http://dx.doi.org/10.7554/eLife.68292 Text en © 2021, Wong et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Wong, Jeffrey V Franz, Max Siper, Metin Can Fong, Dylan Durupinar, Funda Dallago, Christian Luna, Augustin Giorgi, John Rodchenkov, Igor Babur, Özgün Bachman, John A Gyori, Benjamin M Demir, Emek Bader, Gary D Sander, Chris Author-sourced capture of pathway knowledge in computable form using Biofactoid |
title | Author-sourced capture of pathway knowledge in computable form using Biofactoid |
title_full | Author-sourced capture of pathway knowledge in computable form using Biofactoid |
title_fullStr | Author-sourced capture of pathway knowledge in computable form using Biofactoid |
title_full_unstemmed | Author-sourced capture of pathway knowledge in computable form using Biofactoid |
title_short | Author-sourced capture of pathway knowledge in computable form using Biofactoid |
title_sort | author-sourced capture of pathway knowledge in computable form using biofactoid |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683078/ https://www.ncbi.nlm.nih.gov/pubmed/34860157 http://dx.doi.org/10.7554/eLife.68292 |
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