Scope & Topics

by admin last modified 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.