by admin last modified Aug 19, 2017 01:34 PM




All accepted papers of all symposiums will be published by Conference Publishing Services, CPS: as part of the proceedings of The 2017 International Conference on Computational Science and Computational Intelligence (CSCI'17).

Past year's CSCI proceedings are indexed into IEEE Xplore Digital Library and can be accessed via:


Topics of interest include, but are not limited to the following

Prologue: Computational Biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems. An important core of Computational Biology includes Bioinformatics. Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data.

Topics of interest include:
        Bioinformatics and Big Data
        Big Data in Genomics and Cancer Research
        High-performance Computing and Applications in Biology
        Bioinformatics and Cloud Resources
        Molecular Dynamics and Simulation; Molecular Interactions
        Molecular Sequence Classification, Alignment and Assembly
        Molecular Sequence and Structure Databases
        Computational Systems Biology
        Gene Regulation
        Gene Pattern Discovery and Identification
        Gene Expression Analysis; Gene Expression Databases
        Genetic Network Modeling and Inference
        Comparative Genomics
        Evolution of Regulatory Genomic Sequences
        RNA and DNA Structure and Sequencing
        Biomedical Engineering
        Combinatorics and Bioinformatics
        Biological Data Mining and Knowledge Discovery
        Bio-ontologies + Semantics
        Biological Data Integration and Visualization
        Image Processing in Medicine and Biological Sciences
        Pattern Classification and Recognition
        Sequence Analysis and Alignment
        Informatics and Statistics in Biopharmaceutical Research
        Software Tools and Methods for Computational Biology and Bioinformatics
        Protein Modeling
        Proteomics; Protein Folding and Fold Recognition
        Metabolic Modeling and Pathways
        Evolution and Phylogenetics
        Macromolecular Structure Prediction
        Medical Informatics
        Epidemic Models
        Structural and Functional Genomics
        Amino Acid Sequencing
        Stochastic Modeling
        Computational Drug Discovery and Experimental Medicine
        Cancer Informatics
        Experimental Studies and Results (interested in both, negative and positive results)
        Application of Computational Intelligence in Drug Design
        Computer-based Medical Systems (automation in medicine, ...)
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