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2012 Topics in Computational & Systems Biology

    Table of contents
    1. 1. Schedule
    2. 2. Topics

    We will discuss aspects of biological networks in biology at the molecular level (systems biology).  Biological networks include regulatory networks, protein-protein interaction networks, metabolic networks and many others.  

    Schedule

    Date Person Topic
    27 Jan  Gribskov Introduction
    3 Feb    
    10 Feb    
    15 Feb Biaobin Jiang Edgetic perturbation models of human inherited disorders [synopsis]
    24 Feb Yunhao Tan The Application of Systems Biology in Host-Pathogen Interaction [synopsis]   
    2 March Jiajie Huang Network rewiring in disease outcome prediction [synopsis]
    9 March Karthik Padmanabhan MicroRNA and mRNA integrated network analysis [synopsis]
    16 March Spring Break  
    23 March Whitney Soltau Metabolic Networks
    30 March Junhui Wang scale free networks[synopsis]
    6 April Yanzhu Ji Evolution of transcriptional regulatory networks [synopsis]
    13 April Basudev Chowdhury Integrating methylome in the epigenetic landscape by NGS 
    20 April Minming Li 

    Regulatory Network inference and analysis [synopsis]

    27 April    

    Topics

    This is not an inclusive list until more of the participants contribute.  My initial list of topics includes, but is not limited to:

    • Scale-free networks
      • Are biological networks scale free?
      • If they are, what does this tell us about biology?
    • Network Evolution
      • How do networks grow and change over the course of evolution?
      • Do network models inform us about the evolutionary process?
    • Analysis of network topology
      • Hubs and bottlenecks.
      • Identifying critical points in networks?
      • Are topological defined parts of networks (such as hubs or bottlenecks) associated with biological properties such as
        • Conserved function
        • Targets of disease or infection
        • Protein disorder
        • Gene duplication or rapid evolution
    • Networks in development and disease (methods for network understanding and analysis)
    • Identification of important pathways or functional modules
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