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 2017 would like to invite researchers and industrial counterparts to meet at this event to exchange ideas and stimulate research collaborations. All contributions should be original, must be unpublished, and must not be submitted to other venues during the review period. The symposium language is English. Papers should be prepared in ACM SIG style (sigconf template) and should not exceed 8 pages and must be submitted via EasyChair system.
This year the conference will be held in conjunction with The Eighth International Symposium on Information and Communication Technology (SoICT 2017). CSBio 2017 proceedings will be published in the International Conference Proceedings Series by ACM as a volume in ACM ICPS (ISBN: 978-1-4503-5350-2), which will be archived in the ACM Digital Library, and indexed by DBLP, Ei Compendex, Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
Your participation in SoICT 2017 and CSBio 2017 is surely to be a great experience and one that you will long remember with many benefits to your future technical knowledge and your preparations to enhance your career and for embarking into the future. We look forward to seeing you in Nhatrang, Vietnam.
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