CSBio 2020 (International Conference on Computational Systems-Biology and Bioinformatics) is an academic conference held in Bangkok, Thailand on 2020-11-19. The paper submission deadline is 2020-08-01 (extended). Acceptance notifications are sent on 2020-09-08.
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. The current trends are to leverage AI and application of cognitive computing that combines domain knowledge with machine learning.
The call for paper targets contribution in the field of computational approaches designed to face the challenges aroused by biological systems. It aims at giving an overview of the cutting-edge methods and tools to address biological systems. A Special Session on COVID-19 Health, Analytics, and Technologies (CHAT-2020) will provide an opportunity for global research linkages and experience sharing.
CSBio 2020 would like to invite researchers and industrial counterparts to meet at this event to exchange ideas and stimulate research collaborations.
THEME: Innovation with AI and Cognitive Computing
TOPICS OF INTEREST
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
– Computational systems biology
– Coronavirus disease
– Disease classification
– DNA, RNA and protein sequence analysis
– Drug discovery and validation
– Epigenetics/epigenomics
– Epidemiology
– Formal validation of biological systems
– Functional genomics
– Gene expression analysis
– Health informatics
– Human-centric applications
– Medical and biomedical informatics
– Metagenomics data analysis
– Modeling and simulation of biological processes, pathways, etc.
– Molecular evolution and phylogeny
– Next-generation and Third-generation sequencing
– Parallel and distributed computing for life science
– Population genetics
– Proteomics & other omics
– Protein folding
– Translational bioinformatics
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