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Introduction

We are pleased to announce the third meeting on Biological Data Science, which will begin on Wednesday, November 7 at 7:30 p.m. and conclude with lunch on Saturday, November 10, 2018. 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.

Call for paper

Discussion Themes:Data Infrastructure: storage, access, databases, and data standardsCompute Infrastructure: processors, clouds, and workflowsScalable Algorithmics: searching, streaming, and randomized or parallel algorithmsMining Biological Data: machine learning, statistics, normalization, modeling, inference, and visualizationSoftware for Biologists: creating, disseminating, training, and funding such softwareKnowledge Extraction: application areas and data integrationSociology: legal, privacy, and ethical issues, as well as technologies for human data

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Important Date
  • Conference Date

    Nov 07

    2018

    to

    Nov 10

    2018

  • Nov 10 2018

    Registration deadline