Biological Data Science

COVID-19 Update:

The current COVID-19 situation is challenging and difficult for all of us – we hope this virtual conference will allow colleagues to share and discuss their latest research, while under travel and stay-at-home restrictions.

November 4 – 7, 2020

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.

Abstract Deadline (consideration for a talk): August 14, 2020 / Abstracts for poster presentations will be accepted until October 1, 2020
Discussion Themes:
  • Single Cell
  • Personalized Medicine and Biomarkers
  • Imaging
  • Machine Learning
  • Algorithmics
  • Tools, Infrastructure, and Visualization
More information and registration
Share this opportunity