NIH Data Science Collaborative Hackathon April 16 – 18, 2018


The NCBI will assist with a data science hackathon to take place on the NIH Campus in Bethesda, Maryland, from April 16-18, 2018.

The hackathon will focus on tools for advanced analysis of biomedical datasets including text, images, next generation sequencing data, proteomics, and metadata. Many individuals who attend these events have already engaged in the use of large datasets or in the development of informatics tools, code, or pipelines; however, researchers who are in the earlier stages of their data science journey, including students and postdocs are also encouraged to apply. 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 Bethesda, Maryland.

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Bioinformatics paper uses NCBI open data to analyze drug response


study (PMID: 28158543) published in the July 2017 issue of Bioinformatics collects, classifies and analyzes single nucleotide variants (SNVs) that may affect response to currently approved drugs. They identified 2,640 SNVs of interest, most of which occur rarely in populations (minor allele frequency <0.01).

The researchers used protein sequence alignment tools and mined open data from multiple information resources accessed through E-utilities including PubChem Compound (Kim et al., 2016 PMID: 26400175), NCBI Gene (Maglott D, et al., 2014. PMID: 25355515), NCBI Protein (Sayers, 2013), MMDB (Madej et al., 2012 PMID: 22135289), PDB (Berman et al., 2000 PMID: 10592235), dbSNP (Sherry et al., 2001 PMID: 11125122), and ClinVar (Landrum et al., 2016 PMID: 26582918).

Questions, comments, and other feedback may be sent to Yanli Wang.

North Carolina Research Triangle Hackathon March 12-14, 2018


The UNC Curriculum in Bioinformatics and Computational Biology and NCBI will host a data science hackathon from March 12-14, 2018 on the campus of the University of North Carolina at Chapel Hill. Projects addressed during the hackathon will involve general bioinformatics and genomic analyses in addition to 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 may involve other non-scientific developers, mathematicians, or librarians.

To be considered for the event, you must apply and be able to travel to the UNC campus in Chapel Hill (see details below).  Applications are due Monday, February 12th, 2017 by 11:59 pm ET.

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NCBI to assist in Southern California genomics hackathon in January


From January 10-12, 2018, the NCBI will help with a bioinformatics hackathon in Southern California hosted by San Diego State University. The hackathon will focus on advanced bioinformatics analysis of next generation sequencing data, proteomics, and metadata. This event is for researchers, including students and postdocs, who have already engaged in the use of bioinformatics data or in the development of pipelines for bioinformatics 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 SDSU (see below).  Applications are due Monday, December 11th, 2017 by 3 pm PT (6PM EST).

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August 30 NCBI Minute: NCBI Hackathons, a framework for rapid prototyping of pipelines for bioinformatics, biomedical informatics and genomics


NCBI regularly organizes hackathons throughout the United States, where participants work in teams to apply their data science experience with public datasets. In this NCBI Minute, you will hear highlights from recent hackathons, see examples of the software created in these events, and learn how you can participate in future hackathons.

Date and time: Wednesday, August 30, 2017 12:00 PM – 12:30 PM EDT

After registering, you will receive a confirmation email with information about attending the webinar. After the live presentation, the webinar will be uploaded to the NCBI YouTube channel. You can learn about future webinars on the Webinars and Courses page.