Systems biology is the study of Biology from the perspective of Systems (i.e. Biological systems), that is sets of components which interact which each other. In particular systems biology is organized in an approximately hierarchical fashion, where lower levels are composed of parts which self-organize into the parts at the next level, which exhibit behaviour emergent from the characteristics of the lower level.
See Biology for the hierarchy of biological systems usually studied by sysbio.
Modelling biological systems – Computational biology – Mathematical biology
Network models
Dynamical systems on networks, Network science
Data and resources
Systems Biology Markup Language (SBML; http://www.sbml.org/), CellML (http://www.cellml.org/) and the Systems Biology Workbench are examples of efforts that aim to form a de facto standard and open software platform for modelling and analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG) 13 , Alliance for Cellular Signaling (AfCS) 14 and Signal Transduction Knowledge Environ- ment (STKE) 15
https://www.wikiwand.com/en/Systems_biology
Foundations of Computational and Systems Biology
Stochastic Dynamics for Systems Biology book
The Biological, Algorithmic and Computational Challenges of Systems Biology, Rick Stevens
The mycobiome The largely overlooked resident fungal community plays a critical role in human health and disease.
Systems approaches to modelling pathways and networks It has become commonly accepted that systems approaches to biology are of outstanding importance to gain understanding from the vast amount of data which is presently being generated by advancing high-throughput technologies.
See Non-equilibrium statistical physics and Complex systems
Stochastic approaches in systems biology. See Systems biology
Differential Equation Models for Systems Biology: A Survey
Winter School on Quantitative Systems Biology 2015
ICTP-ICTS Winter School on Quantitative Systems Biology
Information processing in biological systems
Statistical mechanics for real biological networks by William Bialek: Turing Lecture (Part 2)
Reading and writing omes - George M Church
Harvard Molecular Technologies
Systems biology uses many tools from Mathematical biology