ACM-BCB 2019

ACM-BCB 2019
10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
Event in series	ACM BCB
Dates	2020/09/07 (iCal) - 2020/09/10
Location
Location:	Niagara, New York, USA
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Committees
General chairs:	Xinghua (Mindy) Shi, Michael Buck
PC chairs:	Jian Ma, Pierangelo Veltri
Table of Contents

The 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) is the flagship conference of the ACM SIGBio. ACM-BCB 2019 is the conference's tenth year anniversary, building upon the success of the first nine meetings in Niagara Falls, Chicago, Orlando, Washington DC, Newport Beach, Atlanta, Seattle, Boston, and Washington DC.

ACM-BCB 2019 will be held in Niagara falls, NY on Sept 7-10, 2019. The conference is the premier conference dedicated to interdisciplinary research linking computer science, mathematics, statistics, biology, bioinformatics, biomedical informatics, and health informatics. The past few decades have seen tremendous growth in the scale and complexity of biological and medical data including recent mainstream recognition of big data challenges. This conference serves to showcase leading-edge research on new technologies and techniques around gathering, processing, analyzing, and modeling of data and information for a variety of scientific, clinical, and healthcare applications, from bench to bedside. Examples of relevant topics include, but are not limited to, the following:

• Sequence Analysis
• Genomic Variation and Disease
• Haplotypes and Population Genomics
• Protein and RNA Analysis, Structure, and Dynamics
• Metagenomics
• Cancer Genomics
• Systems Biology
• Phylogenetics
• Biological Networks and Integrative Analysis
• Computational Drug Discovery
• Biological Modeling
• Imaging Genomics and Radiation Genomics
• Automated Diagnosis and Prediction
• Application to Healthcare Processes
• Clinical Databases and Information Systems
• Text Mining and Classification
• Knowledge Representation Applications
• Advancing Algorithms and Methods
• Big Data in Bioinformatics