| Chicago Genomics and Data Science Hackathon | |
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United States - IL - Chicago |
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| Hosted by: | Northwestern University School of Medicine |
| Dates: | Jun 11, 2018 through Jun 13, 2018 |
| Event Registration: | 2018-03-15 through 2018-06-11 |
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Description |
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| Save the Date: Chicago Genomics and Data Science Hackathon July 11 - 13, 2018! From 11-13 July 2018, the NCBI will help out with a Data Science hackathon on the Northwestern School of Medicine Campus in Downtown Chicago! The 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 Chicago. Please note that this follows directly on the heels of the ISMB 2018 meeting. Working groups of five to six individuals will be formed into five to eight teams. These teams will build pipelines and tools to analyze large datasets within a cloud infrastructure. Example subjects for such a hackathon include: A machine learning tool for observing structural changes in time course light microscopy. Novel virus discovery Automated systematic review methodology. Splitting BLAST databases on the cloud Data mapping tool that assists users with mapping their data to CDEs Disease clustering from literature based on limited training data (phenotypic information) Variants from RNAseq (including single cell) Graphical User Interface for Gene Expression calculated on the fly from raw data Please go to http://ncbi-hackathons.github.io to propose projects, and to access the sign-up form when available (likely in mid-March) |
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| Additional Information | |
| Event URL: | http://ncbi-hackathons.github.io |
| ISCB Member Discount: | None |
| Contact Person: | Ben Busby ([javascript protected email address]) |
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