11th International Conference on Bioinformatics Models, Methods and Algorithms - BIOINFORMATICS 2020

The purpose of the International Conference on Bioinformatics Models, Methods and Algorithms is to bring together researchers and practitioners interested in the design and application of modelling frameworks, algorithmic concepts, computational methods, and information technologies to address challenging problems in Bioinformatics and Biomedical research.

There is a tremendous need to explore how mathematical, statistical and computational techniques can be used to better understand biological processes and systems, while developing new methodologies and tools to analyze the massive currently-available biological data. Areas of interest to this community include systems biology and biological networks (regulatory, neuronal, predator-prey, ecological ones, etc.), sequence analysis, biostatistics,  graph models, image analysis, scientific data management and data mining, machine learning, pattern recognition, computational evolutionary biology, computational genomics and proteomics, and related areas.

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:
Area 1: BIOINFORMATICS
- Simulation and Modeling
- Immuno- and Chemo-Informatics
- Pattern Recognition, Clustering and Classification
- Computational Intelligence
- Model Design and Evaluation
- Transcriptomics
- Next Generation Sequencing
- Genomics and Proteomics
- Sequence Analysis
- Structural Bioinformatics
- Structure Prediction
- Databases and Data Management
- Structural Variations
- Image Analysis
- Visualization
- Formal Verification of Biological Systems
- Computational Neuroscience 
- Data Mining and Machine Learning
- Biostatistics and Stochastic Models
- Pharmaceutical Applications
- Systems Biology
- Algorithms and Software Tools
- Web Services in Bioinformatics
- Computational Molecular Systems