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The BioRECIPE Knowledge Representation Format.
Holtzapple, Emilee; Zhou, Gaoxiang; Luo, Haomiao; Tang, Difei; Arazkhani, Niloofar; Hansen, Casey; Telmer, Cheryl A; Miskov-Zivanov, Natasa.
Affiliation
  • Telmer CA; Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.
ACS Synth Biol ; 13(8): 2621-2624, 2024 Aug 16.
Article in En | MEDLINE | ID: mdl-39051984
ABSTRACT
The BioRECIPE (Biological system Representation for Evaluation, Curation, Interoperability, Preserving, and Execution) knowledge representation format was introduced to standardize and facilitate human-machine interaction while creating, verifying, evaluating, curating, and expanding executable models of intra- and intercellular signaling. This format allows a human user to easily preview and modify any model component, while it is at the same time readable by machines and can be processed by a suite of model development and analysis tools. The BioRECIPE format is compatible with multiple representation formats, natural language processing tools, modeling tools, and databases that are used by the systems and synthetic biology communities.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Synthetic Biology Limits: Humans Language: En Journal: ACS Synth Biol / ACS synth. biol / ACS synthetic biology Year: 2024 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Synthetic Biology Limits: Humans Language: En Journal: ACS Synth Biol / ACS synth. biol / ACS synthetic biology Year: 2024 Document type: Article Country of publication: United States