Scope & Topics
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May 11, 2017 09:03 PM
The 18th Int'l Conf on Bioinformatics & Computational Biology (BIOCOMP'17)
Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. 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.
Topics of interest include, but are not limited to, the following:
- Bioinformatics and Big Data
- Big Data in genomics and cancer research
- Microarrays
- Bioinformatics and new 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
- Biological databases and information retrieval
- 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
- Cheminformatics
- Computational drug discovery and experimental medicine
- Cancer informatics
- Experimental studies and results
- Application of computational intelligence in drug design
- High-performance computing and applications in biology
- Computer-based medical systems (automation in medicine, ...)
- Other aspects & applications relating to technological advancements in medicine & biological sciences & emerging roadmaps.