The Donnelly Centre, University of Toronto, Toronto, Canada.
Computational Biology Program, Oregon Health and Science University, Portland, United States.
Elife. 2021 Dec 3;10:e68292. doi: 10.7554/eLife.68292.
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.
使科学论文中的知识具有机器可读性和形式可计算性,可以通过与其他知识源集成来支持数据分析和解释,从而使研究人员能够充分利用这些信息。在这里,我们描述了 Biofactoid,这是一个基于网络的平台,允许科学家指定基因、它们的产物和化合物之间的相互作用网络,然后将此信息转换为适合计算分析、搜索和发现的表示形式。我们还报告了一项鼓励科学界广泛采用 Biofactoid 的试点研究的结果。