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Festival Genomics

Enabling Data

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From advanced analytical approaches in understanding biology to best practices for integrating multi 'omit data at scale. We explore how to hack through the data jungle in style Personalizing Medicine
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09:25 AM
    • Enabling Data
    • Personalizing Medicine
    • Precision Therapies
    • Research and Development
    Who is a Scientist? How biohackers are changing the world
    Main Stage
    The rise & limitations of the independent scientist Influence of biohacking on genetic engineering Why we should support biohackers by being more accessible as a community
09:50 AM
    • Enabling Data
    • Personalizing Medicine
    • Precision Therapies
    • Research and Development
    Transformative legacy of genomics - thinking out of the box
    Main Stage
    Genomics is well known for its transformative effects on biomedical research but its contributions are much broader and more fundamental Thanks to its insistence on open data sharing genomics has laid ...
10:35 AM
    • Enabling Data
    Project Jupyter for reproducible and interactive computing
    Main Stage
    Learn about how the Jupyter Notebook enables users to create and share computational narratives for genomics that combine live code, data, equations, visualizations and images Learn about how Project ...
10:50 AM
11:00 AM
    • Enabling Data
    Analyze your own darn data!
    Main Stage
    How deskilling BioInformatics will reduce costs and produce results  Nightmares on genomics row Yes we can! Experimental design to interpretation without BioInformatics
12:55 PM
    • Enabling Data
    Building and running portable genomics workflows using Docker and sharing results with GA4GH data structures and access patterns
    Knowledge Hub B
    Using Docker containers and workflow specification languages to build a repeatable, reusable genomic pipelines Demonstration of an RNA sequence pipeline Building a genomic data sharing server followin ...
02:45 PM
    • Enabling Data
    How are data science and machine learning transforming biology?
    Knowledge Hub A
    Advanced analytics + biodata = revolutionised medicine? Opportunities to interpret deep learning models for biological applications Good data trumps a good algorithm? Challenges in using machine learn ...
05:10 PM
    • Enabling Data
    Deep learning in medicine: an introduction and applications to next-generation sequencing and disease diagnostics
    Main Stage
    Review of the history and taxonomy of machine learning and artificial intelligence Introducing deep learning, covering both what it is and why it’s so exciting Discussion in detail two concrete applic ...
09:20 AM
    • Enabling Data
    Returning the power to patients in a data and consumer-driven era
    Main Stage
09:45 AM
    • Enabling Data
    • Personalizing Medicine
    • Precision Therapies
    • Research and Development
    Patients at the center of precision medicine
    Main Stage
    What are the best strategies to stay nimble yet provide scale in today’s environment to provide two way communication between patients and a data gathering center? Building a team for Data, Technology ...
10:50 AM
    • Enabling Data
    Ludicrous speed association studies
    Main Stage
    Common diseases are highly polygenic, with tiny effects from many variants   Need large sample sizes to tease out these effects in association studies   Linear mixed models are the state-of-the-art ap ...
12:50 PM
    • Enabling Data
    Best practices for large scale multiomic data integration
    Knowledge Hub B
02:30 PM
    • Enabling Data
    Enabling precision medicine in oncology using informatics
    Knowledge Hub A
    How Pfizer uses informatics in oncology Utilizing cognitive computing to select drug combinations Delivering a data-first strategy to enable it to become an enterprise asset
02:55 PM
    • Enabling Data
    Unleashing the power of omics data to advance oncology drug discovery
    Knowledge Hub A
    How does cancer omics data benefit drug discovery Opportunities of omics “big data” and challenges in data generation, integration and access Developing cancer omics data repository and web-based anal ...
04:00 PM
    • Enabling Data
    Cancer genome analysis for everyone: The Cancer Genome Collaboratory
    Main Stage
    Availability of large whole cancer genome data sets in the cloud. Cost savings and power of performing large-scale genome analysis in the cloud. Tools that encourage the sharing of analytic methods in ...

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