Petabyte-Scale Sequence Search: Metagenomics Benchmarking Codeathon

Event Details

Event Date(s)
Mon, Sep 27 2021 - Fri, Oct 1 2021
Format
In-person
Filed Under

Event Description

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Event Description

The National Institutes of Health (NIH) Office of Data Science Strategy, the National Center for Biotechnology and Information at the National Library of Medicine, and the Department of Energy's (DOE) Office of Biological and Environmental Research invite you to apply to the virtual Petabyte-Scale Sequence Search: Metagenomics Benchmarking Codeathon. NIH’s Sequence Read Archive now makes more than 14 petabytes of data available in the cloud. To make full use of this data, the scientific community needs high-performance search tools that can work efficiently up to the petabyte scale.

The focus of the codeathon is creating publicly available resources that make it easy for scientists to compare sequence search methods across a standardized set of benchmarks and datasets. This event is part of a series bringing together a diverse group (biologists, bioinformaticians, statisticians, mathematicians, computer scientists, and engineers) of collaborators to develop and test new approaches for sequence search. Codethon projects will lay the groundwork for future events focused on methods development.

Throughout the online, interactive codeathon, participants will:

  • Have access to Zoom meetings and team breakout rooms for collaboration and access to experts from the NIH and DOE.
  • Participate in a dedicated Slack channel to source assistance and collaboration.
  • Hear from topic experts about Petabyte-Scale Sequence Search.
  • Work together to solve biological problems and create computational tools.

At the end of the codeathon event, teams will have authorship over their projects, which can be submitted for publication, presented at conferences, or hosted online for public access.

If you are interested in attending the codeathon, please apply by Aug. 20.

Apply here:  https://datascience.nih.gov/news/petabyte-scale-sequence-search-metagenomics-benchmarking-codeathon