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
Organizers:
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
