We are pleased to announce the second meeting on Biological Data Science, which will begin on Tuesday, October 25 at 7:30 p.m. and conclude with lunch on Saturday, October 29, 2016. The scope of this meeting will be the infrastructure, software, and algorithms needed to analyze large data sets in biological research. We welcome abstracts from researchers in both academia and industry who work on technical aspects of the discussion topics in all areas of biology, from genomics to imaging. We also welcome abstracts from translational and clinical researchers who regularly mine large data sets as part of their projects. The goal is to assemble a multidisciplinary audience that will discuss best practices, identify challenges, and highlight successes in the analysis of large biological data sets.
Discussion Themes:
·Data Infrastructure: storage, access, databases, and data standards
·Compute Infrastructure: processors, clouds, and workflows
·Scalable Algorithmics: searching, streaming, and randomized or parallel algorithms
·Mining Biological Data: machine learning, statistics, normalization, modeling, inference, and visualization
·Software for Biologists: creating, disseminating, training, and funding such software
·Knowledge Extraction: application areas and data integration
·Sociology: legal, privacy, and ethical issues, as well as technologies for human data
Oct 25
2016
Oct 29
2016
Abstract Submission Deadline
Registration deadline
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