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The 2006 World Congress in Computer Science
Computer Engineering, and Applied Computing

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Gene Networks: Theory and Application

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Gene Networks: Theory and Application

Thank you to all participants!
Workshop at BIOCOMP'06- The 2006 International Conference on Bioinformatics & Computational Biology

Monte Carlo Resort, Las Vegas, Nevada, USA (June 26-29, 2006)

This workshops aims to bring together scientists from diverse fields within the computational and systems biology community to foster and advance the emerging community of gene networks. All aspects of different gene networks, e.g., metabolic, transcriptional regulatory, signaling or protein-protein interaction networks as well as statistical and computational methods for the inference, reconstruction or analysis from experimental or synthetic data are welcome. New methods combining data from different sources of high-throughput or other data are of special interest.

The workshop is part of BIOCOMP'06 (The 2006 International Conference on Bioinformatics and Computational Biology) which is organized in conjunction with WORLDCOMP'06 (The 2006 World Congress in Computer Science, Computer Engineering, and Applied Computing) and all accepted papers will be published in the conference proceedings thereof. Additionally, we plan to publish extended versions of accepted papers in a special issue of a journal.

Guidelines for paper preparation and submission as well as the dealine for submission can be found either via the menue (left side) or by following the links. Please use for the email submission the subject Gene Networks (BIOCOMP'06).

Topics of interest include, but are not limited to:

    • Bayesian networks
    • CHIP-chip experiments
    • Drug discovery
    • Function prediction
    • Gene network modeling and inference
    • Gene regulation
    • Gene expression analysis
    • Graphical models
    • Graphical Gaussian models
    • Metabolic modeling and pathways
    • Microarray data
    • Network comparison
    • Network evolution
    • Network motifs
    • Protein-protein interaction
    • Reverse engineering of networks
    • Signaling pathways
    • Simulation of gene networks
    • Structural equation modeling
    • Synthetic ciruits
    • Transcriptional regulatory networks


Frank Emmert-Streib
Stowers Institute for Medical Research
1000 E. 50th Str.
Kansas City, Mo 64110, USA
fes at stowers-institute.org

Matthias Dehmer
University of Darmstadt
64289 Darmstadt, Germany
dehmer at informatik.tu-darmstadt.de
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