The Next-generation Computational Biology - With the advancement in next-generation molecular technology in generating the high-throughput "omics" data, life science has come to the era of "big data". To extract biological knowledge from the data, and translate it into benefits for society (e.g. better medicine and healthcare), novel and advanced computational tools are needed for data analysis. CSBio 2016 would like to invite researchers and industrial counterparts to meet at this event to exchange ideas and stimulate research collaborations.

Topics of interest include, but are not limited to:

   Adaptive computation in bioinformatics
  Bio-data visualization
  Bio-inspired computing
  Biological network reconstruction and analysis
  Biomarker discovery
  Disease classification
  DNA, RNA and protein sequence analysis
  Drug discovery and validation
  Epigenetics/epigenomics
  Functional genomics
  Gene expression analysis
  Medical and biomedical informatics
  Modeling and simulation of biological processes, pathways, etc.
  Molecular evolution and phylogeny
  Next-generation sequencing
  Parallel and distributed computing for life science
  Population genetics
  Proteomics & other omics
  Protein folding
  Translational bioinformatics