Tag: Codeathon

Florida (USF) Biological Data Science “IronHack” February 25-27, 2019

Florida (USF) Biological Data Science “IronHack” February 25-27, 2019

From February 25-27, 2019, NCBI will help with a Data Science hackathon at USF in Tampa Florida!

The hackathon will focus on the genomics of Iron-linked Rare Diseases as well as large scale RNA-Seq indexing and analysis. This event is for researchers, including students and postdocs, who have already engaged in the use of large datasets or in the development of pipelines for analyses from high-throughput experiments. Some projects are available to other non-scientific developers, mathematicians, or librarians.

The event is open to anyone selected for the hackathon and willing to travel to Tampa.

Working groups of five to six individuals will be formed into five to eight teams. These teams will build or expand on pipelines and tools to analyze large datasets within a cloud infrastructure. Example subjects for such hackathons include:

  • Integrative pipelines to analyze large scale RNA-Seq experiments
  • Visualization tools for mapping phenotypes to genotypes
  • Rapid clinical diagnostics tools
  • Structural variant mining with single molecule sequencing data

Please see the application form for more details and additional projects.  The project list will continue to evolve and will be updated on the application form.

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Apply now to join the Seattle Biological Data Science FHackathon February 4-6, 2019

Apply now to join the Seattle Biological Data Science FHackathon February 4-6, 2019

From February 4-6, 2019, the NCBI will help with a data science hackathon at the Fred Hutchinson Cancer Research Center in Seattle. To apply, complete this form (approximately 10 minutes to complete). Initial applications are due Friday, January 11th by 11 pm ET.

The hackathon will focus on genomics as well as general data science. This event is for researchers, including students and postdocs, who have already engaged in the use of large datasets or in the development of pipelines for analyses from high-throughput experiments. Some projects are available to other non-scientific developers, mathematicians, or librarians.

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Virus Hunting Data Science Hackathon next week in San Diego

From January 9th – 11th, the NCBI will help run a bioinformatics hackathon in Southern California hosted by the Computational Sciences Research Center at San Diego State University. We reached out to the global computational biology and virology community as part of this effort to make data more accessible.

The hackathon teams look forward to leveraging metagenomic datasets in the cloud to find data based on organismal content and update taxonomy – but most of all – hunt down new viruses!

Follow along with the event with NCBI tweets and see our work on GitHub.

NCBI to assist in Virus Hunting Data Science Hackathon January 9-11, 2019

NCBI to assist in Virus Hunting Data Science Hackathon January 9-11, 2019

We are pleased to announce the second installment of the SoCal Bioinformatics Hackathon. From January 9-11, 2019, the NCBI will help run a bioinformatics hackathon in Southern California hosted by the Computational Sciences Research Center at San Diego State University!

We’re specifically looking for folks who have experience in computational virus hunting or adjacent fields to identify known, taxonomically-definable and novel viruses from a few hundred thousand metagenomic datasets that we’ll put on cloud infrastructure. This event is for researchers, including students and postdocs, who are already engaged in the use of bioinformatics data or in the development of pipelines for virological analyses from high-throughput experiments. If this describes you, please apply! The event is open to anyone selected for the hackathon and willing to travel to SDSU (see below).

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Join NCBI-style hackathons at NIH, Cold Spring Harbor Labs, and UT Southwestern Medical Center

Join NCBI-style hackathons at NIH, Cold Spring Harbor Labs, and UT Southwestern Medical Center

Applications are open for three NCBI-style hackathons:

  • 12th NIH Research Festival Collaborative Data Science and Machine Learning Hackathon (September 10-12)
  • Post-Biological Data Science meeting hackathon at Cold Spring Harbor labs (November 10-12)
  • U-HACK MED, the pre-SuperComputing hackathon at UTSW (November 9-10)

The application period for each hackathon ends this month, August 2018. See our Biohackathons GitHub page for details on each hackathon, including how to apply.

NYGC NCBI-style bioinformatics hackathon August 6-8, 2018

NYGC NCBI-style bioinformatics hackathon August 6-8, 2018

From August 6-8, 2018, the NCBI will help with a data science hackathon at the New York Genome Center in Manhattan. The hackathon will focus on genomics as well as general Data Science. This event is for researchers, including students and postdocs, who have already engaged in the use of large datasets or in the development of pipelines for analyses from high-throughput experiments. Some projects are available to other non-scientific developers, mathematicians, or librarians.

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Summer 2018 NIH Data Hackathon July 23-25, 2018

Summer 2018 NIH Data Hackathon July 23-25, 2018

From July 23rd to 25th, 2018, NCBI will host a data science hackathon on the NIH campus. This hackathon will focus on genomics as well as general Data Science analyses including text, image and sequence processing. This event is for researchers, including students and postdocs, who have already engaged in the use of large datasets or in the development of pipelines for analyses from high-throughput experiments. Some projects are available to other non-scientific developers, mathematicians, or librarians.

The event is open to anyone selected for the hackathon and willing to travel to the NIH campus in Bethesda, Maryland.

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Tour the NCBI’s Genome Data Viewer, Bookshelf, Pathogen Isolates Detection Browser and other resources on YouTube

Several of the latest videos on the NCBI YouTube channel highlight NCBI resources. Subscribe to the channel to see all our new videos.

NCBI’s Genome Data Viewer – Introducing the BLAST Widget

A brief introduction into how the BLAST widget, a new addition to the Genome Data Viewer, helps you see your BLAST results in the context of assembled genome sequences.

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