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PSFC: a Pathway Signal Flow Calculator App for Cytoscape
- Source :
- F1000Research
- Publication Year :
- 2015
- Publisher :
- F1000 Research Ltd, 2015.
-
Abstract
- Cell signaling pathways are sequences of biochemical reactions that propagate an input signal, such as a hormone binding to a cell-surface receptor, into the cell to trigger a reactive process. Assessment of pathway activities is crucial for determining which pathways play roles in disease versus normal conditions. To date various pathway flow/perturbation assessment tools are available, however they are constrained to specific algorithms and specific data types. There are no accepted standards for evaluation of pathway activities or simulation of flow propagation events in pathways, and the results of different software are difficult to compare. Here we present Pathway Signal Flow Calculator (PSFC), a Cytoscape app for calculation of a pathway signal flow based on the pathway topology and node input data. The app provides a rich framework for customization of different signal flow algorithms to allow users to apply various approaches within a single computational framework.
- Subjects :
- 0301 basic medicine
Systems biology
Computational biology
Biology
Flow propagation
Data type
General Biochemistry, Genetics and Molecular Biology
law.invention
03 medical and health sciences
0302 clinical medicine
Software
law
cytoscape
General Pharmacology, Toxicology and Pharmaceutics
Signal-flow graph
Normal conditions
General Immunology and Microbiology
business.industry
Software Tool Article
systems biology
Articles
General Medicine
pathway signal flow
030104 developmental biology
Theory & Simulation
Calculator
networks
gene expression
business
Neuroscience
scoring algorithms
030217 neurology & neurosurgery
Cell signaling pathways
Cell Signaling & Trafficking Structures
Subjects
Details
- ISSN :
- 20461402
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- F1000Research
- Accession number :
- edsair.doi.dedup.....27579d45684d6968c595da24d914227f
- Full Text :
- https://doi.org/10.12688/f1000research.6706.1