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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
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.
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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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