Litcius/Paper detail

Ten simple rules for creating reusable pathway models for computational analysis and visualization

Kristina Hanspers, Martina Kutmon, Susan L. Coort, Daniela Digles, Lauren J. Dupuis, Friederike Ehrhart, Finterly Hu, Élisson Nogueira Lopes, Marvin Martens, Nhung Pham, Woosub Shin, Denise Slenter, Andra Waagmeester, Egon Willighagen, Laurent Winckers, Chris T. Evelo, Alexander R. Pico

2021PLoS Computational Biology19 citationsDOIOpen Access PDF

Abstract

Pathway models are an effective way to capture and share our current understanding of biological processes. A pathway model is defined here as a set of interactions among biological entities (e.g., proteins and metabolites) relevant to a particular context, curated and organized to illustrate a particular process. Properly modeled pathways can be used in the analysis and visualization of diverse types of omics and other biomedical data The modeling process involves taking our knowledge about biological pathways-however messy and incompleteand encoding it in standardized data formats that can be shared, reused, and synthesized with other knowledge in accordance with the Findable, Accessible, Interoperable, and Reusable (FAIR) principles The rules presented here serve as an introduction and guide to the pathway modeling process, leveraging freely available tools and resources.

Topics & Concepts

SBMLMarkup languageComputer scienceVisualizationInteroperabilitySystems biologyContext (archaeology)Process (computing)MetadataBiological networkNotationData scienceProgramming languageComputational biologyWorld Wide WebXMLArtificial intelligenceBiologyArithmeticPaleontologyMathematicsBioinformatics and Genomic NetworksBiomedical Text Mining and OntologiesScientific Computing and Data Management