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