BIOINFORMATICS 2014 - 2014 International Conference on Bioinformatics Models, Methods and Algorithms

The purpose of the International Conference on Bioinformatics Models, Methods and Algorithms is to bring together researchers and practitioners interested in the application of computational systems and information technologies to the field of molecular biology, including for example the use of statistics and algorithms to understanding biological processes and systems, with a focus on new developments in genome bioinformatics and computational biology. Areas of interest for this community include sequence analysis, biostatistics, image analysis, scientific data management and data mining, machine learning, pattern recognition, computational evolutionary biology, computational genomics and other related fields.
BIOINFORMATICS encourages authors to submit papers to one of the main topics indicated below, describing original work, including methods, techniques, advanced prototypes, applications, systems, tools or survey papers, reporting research results and/or indicating future directions. Accepted papers will be presented at the conference by one of the authors and published in the proceedings. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions.
The proceedings will be indexed by several major international indexers.
Special sessions are also welcome. Please contact the secretariat for further information on how to propose a special session.
CONFERENCE TOPICS
Simulation
Computational Intelligence
Genomics and Proteomics
Sequence Analysis
Structural Bioinformatics
Image Analysis
Visualization
Databases and Data Management
Data mining and Machine Learning
Biostatistics and Stochastic Models
Pharmaceutical Applications
Systems Biology
Algorithms and Software Tools
Web Services in Bioinformatics
Computational Molecular Systems
Immuno- and chemo-informatics
Pattern recognition, clustering and classification
Structure prediction
Model design and evaluation
Transcriptomics
Next Generation Sequencing
Structural Variations