Tag: data science

Applications for July 2018 post-ISMB Chicago Bioinformatics Hackathon at Northwestern University Feinberg School of Medicine are open

From July 11-13, 2018, NCBI will help with a data science hackathon at the Northwestern Feinberg School of Medicine campus in downtown Chicago. This hackathon focuses on genomics and general data science analyses including text, image, and sequence processing. The event is for researchers, including students and postdocs, who already use large datasets or develop pipelines for analyses from high-throughput experiments. Some projects are available to other non-scientific developers, mathematicians or librarians. The hackathon is open to anyone selected for the hackathon and willing to travel to Chicago.

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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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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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5 NCBI articles in 2018 Nucleic Acids Research database issue

The 2018 Nucleic Acids Research database issue features several papers from NCBI staff that cover the status and future of databases including CCDS, ClinVar, GenBank and RefSeq. These papers are also available on PubMed. To read an article, click on the PMID number listed below.

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NIH Data Hackathon on campus – January 22-24, 2018

From January 22-24, 2018, the NCBI will help with a data science hackathon on the NIH campus in Bethesda, MD. The hackathon will focus on 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 (see below). Applications are due Friday, December 22nd, 2017 by 9 pm EST.

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Applications open for the August 2017 NCBI-NLM Bioinformatics Hackathon

From August 14th – 16th, the NCBI, with involvement from several NIH institutes, will host a Biomedical Data Science hackathon at the National Library of Medicine on the NIH campus. The hackathon will primarily focus on medical informatics, advanced bioinformatics analysis of next generation sequencing data and metadata. To apply for this event, complete this application (approximately 10 minutes to complete). Applications are due Tuesday, July 11, 2017 by 4 PM ET.

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