BLSMC 2013 - The International Workshop on Bioinformatics and Life Sciencee Modeling and Computing (BLSMC 13)
Topics/Call fo Papers
The aim of this Workshop is to facilitate exchange of ideas and collaborations between computer scientists and biologists by presenting cutting-edge solutions of Modeling, Computing and Learning in Biology and Life Science. We invite submissions that address conceptual and practical issues of bioinformatics and life science with an interdisciplinary character. For example, computer science and mathematical modeling papers should contain a concise description of the biological problem being solved, and biology papers should show the enhancement of computation tools.
Topics of interest include but are not limited to the following technical areas:
TOPICS:
Data Integration for Microarray Analysis
Optimization in Metabolic Pathway
Molecular Dynamics
Comparative Genomics
Protein Structure Prediction
Biological Systems as Reactive Systems
Algorithms for Sequence Alignment and Phylogeny Reconstruction
Genome Annotation Using Software Agents
Image Processing for Biomedical Applications
Biotechnology Modeling: from Processes to ODEs
Mathematical Models of Cancer Immunotherapy
Stochastic Dynamics of Gene Networks
Hidden Markov Models with Application in Biology
High Performance Bio-Computing
ODEs in Biological Compartments
Biological Applications of Data-Mining and Machine Learning Techniques
Quantum-Chemical Calculations
E-Learning in Biology
Topics of interest include but are not limited to the following technical areas:
TOPICS:
Data Integration for Microarray Analysis
Optimization in Metabolic Pathway
Molecular Dynamics
Comparative Genomics
Protein Structure Prediction
Biological Systems as Reactive Systems
Algorithms for Sequence Alignment and Phylogeny Reconstruction
Genome Annotation Using Software Agents
Image Processing for Biomedical Applications
Biotechnology Modeling: from Processes to ODEs
Mathematical Models of Cancer Immunotherapy
Stochastic Dynamics of Gene Networks
Hidden Markov Models with Application in Biology
High Performance Bio-Computing
ODEs in Biological Compartments
Biological Applications of Data-Mining and Machine Learning Techniques
Quantum-Chemical Calculations
E-Learning in Biology
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Last modified: 2012-08-31 00:07:29