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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
A decade of systems biology
Han-Yu Chuang1, Matan Hofree, Trey Ideker
1Division of Medical Genetics, Department of Medicine, University of California, San Diego, La Jolla, California 92093, USA.
Annual Review of Cell and Developmental Biology
|July 8, 2010
Summary
Systems biology integrates measurements to model biological systems. Emerging applications in biomarkers, genetic maps, disease gene discovery, and stem cell research are advancing human health and development.
Area of Science:
- Integrative biology
- Computational biology
- Translational science
Background:
- Systems biology has advanced significantly over the past decade.
- Technologies for global cell measurement and computational analysis have improved.
- Systems biology approaches are increasingly applied to human development and disease.
Purpose of the Study:
- To review the current state of systems biology.
- To highlight four emerging and important applications.
- To discuss advancements in software tools for systems biology.
Main Methods:
- Systematic measurements and computational analysis of biological data.
- Application of yeast-based systems biology approaches to human studies.
- Review of emerging systems biology applications and software tools.
Main Results:
- Four key emerging applications: pathway-based biomarkers, global genetic interaction maps, systems approaches for disease gene identification, and stem cell systems biology.
- Significant progress in technologies for global cell measurement.
- Advancements in computational analyses for mapping and modeling cell function.
- Development of new software tools for exploring system-wide models and hypothesis generation.
Conclusions:
- Systems biology is a powerful framework for understanding complex biological systems.
- Emerging applications promise significant impact on human development and disease research.
- Continued advancements in technology and computational tools will drive future discoveries.
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