Tag: data science

Computational Medicine Codeathon and AWS workshop at Chapel Hill in March

Computational Medicine Codeathon and AWS workshop at Chapel Hill in March

NIH is pleased to announce a computational medicine-focused codeathon. To apply, please complete the application form by February 25, 2020. We will also be offering a free workshop, AWS Technical Essentials, the day before the codeathon. Read on for more information about the event. Continue reading “Computational Medicine Codeathon and AWS workshop at Chapel Hill in March”

NLM announces Curation at Scale Workshop

NLM announces Curation at Scale Workshop

Data curation plays a critical role in today’s biomedical research and ensures scientific data will be accessible for future research and reuse. To improve the speed and scope of manual curation, computer automation/assistance is becoming increasingly desired. 

The National Library of Medicine (NLM) is pleased to announce a two-day Curation at Scale Workshop, to be held on April 27-28, 2020 on the National Institutes of Health (NIH) campus in Bethesda, Maryland, USA. The NLM workshop featuring invited speakers will bring together biocurators, developers of automated curation methods, and other stakeholders, and will offer an opportunity to learn more about the current status of biomedical data curation, to share your research and your challenges, and to discuss the implementation of advanced computational techniques in scientific data curation. We invite participants from academia, government, publishers, and industry interested in the methods and tools employed in curation of biomedical data to attend this exciting workshop. Participants are encouraged to submit an abstract for consideration for poster presentation.

Poster abstract submission deadline: March 6, 2020

Registration deadline: April 17, 2020

WEBSITE: https://www.nlm.nih.gov/curationworkshop2020/index.html

 

Request for proposals: Single Cell in the Cloud codeathon at NYGC in January

Request for proposals: Single Cell in the Cloud codeathon at NYGC in January

The New York Genome Center is hosting an NCBI  Single Cell in the cloud codeathon from January 15-17, 2020. Submissions for project proposals are due December 2nd.

Please submit your proposal and apply here.

What topics are in scope?

This codeathon will focus on single cell data, including RNA, DNA, and chromatin accessibility.  We are particularly interested in proposals for pipelines and analysis of SRA data, data interoperability, and using machine learning techniques in clustering.  We also welcome proposals for tutorial pipelines and educational tools. You will have access to computational resources in the Cloud to turn your idea into a working prototype.   Visit our website for examples of previous codeathon projects.

Continue reading “Request for proposals: Single Cell in the Cloud codeathon at NYGC in January”

NIH Biomedical Data Science Codeathon in Pittsburgh, Jan 8-10

NIH Biomedical Data Science Codeathon in Pittsburgh, Jan 8-10

NCBI is pleased to announce a Biomedical Data Science Codeathon in collaboration with Carnegie Mellon in Pittsburgh, PA on January 8-10, 2020.

We’re specifically seeking people with experience working with complex diseases, precision medicine, and genomic analyses.  If this describes you, please apply! 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 large scale genomic analyses from high-throughput experiments. The event is open to anyone selected for the codeathon and willing to travel to Pittsburgh.

Potential topics include:

  • Virus Genome Graph tools
  • Image analysis pipelines
  • RNAseq pipelines
  • Cancer graph genomes
  • Complex Disease Analysis

Continue reading “NIH Biomedical Data Science Codeathon in Pittsburgh, Jan 8-10”

Presentation on NCBI’s genome browser at Rocky Mountain Genomics Hackcon

Presentation on NCBI’s genome browser at Rocky Mountain Genomics Hackcon

On June 18, 2019, NCBI’s Sanjida Rangwala will demonstrate the rich data visualization capabilities of NCBI’s genome browser at a conference that is part of the Rocky Mountain Genomics Hackcon.  As mentioned in a previous post, NCBI staff will also participate in an NCBI-style Hackathon  as part of the larger event.  The genome browser presentation and demonstration will show you how to create visuals that provide insights and show connections among genes, transcripts, variation,  epigenomics and GWAS data from NCBI sources. You will also see  how you can upload your own data and embed NCBI viewers on your own pages.

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.

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

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.

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

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.

Continue reading “NYGC NCBI-style bioinformatics hackathon August 6-8, 2018”

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.

Continue reading “Summer 2018 NIH Data Hackathon July 23-25, 2018”