bioRxivPlant Biology
Stress Knowledge Map: A knowledge graph resource for systems biology analysis of plant stress responses
C. Bleker, Z. Ramsak, A. Bittner, V. Podpecan, M. Zagorscak, B. Wurzinger, S. Baebler, M. Petek, M. Kriznik, A. van Dieren, J. Gruber, L. Afjehi-Sadat, A. Zupanic, M. Teige, U. C. Vothknecht, K. Gruden
Abstract
Stress Knowledge Map (SKM, https://skm.nib.si) is a publicly available resource containing two complementary knowledge graphs describing current knowledge of biochemical, signalling, and regulatory molecular interactions in plants: a highly curated model of plant stress signalling (PSS, 543 reactions) and a large comprehensive knowledge network (CKN, 488,390 interactions). Both were constructed by domain experts through systematic curation of diverse literature and database resources. SKM provides a single entrypoint for plant stress response investigations and the related growth tradeoffs. SKM provides interactive exploration of current knowledge. PSS is also formulated as qualitative and quantitative models for systems biology, and thus represents a starting point of a plant digital twin. Here, we describe the features of SKM and show, through two case studies, how it can be used for complex analyses, including systematic hypothesis generation, design of validation experiments, or to gain new insights into experimental observations in plant biology.
- organism: plant (other)
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: database / resource
- research focus: benchmarking
- approach: experimental assay
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