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  1. Repository for Host-Pathogen Phylogeny Project. Paper DOI: 10.1038/nature22975

    HTML 7 5

  2. High performance raster conversion for modern spatial data 🚀🌏

    C++ 142 15

  3. GRITS uses natural language processing to extract disease-related information from text, including disease names, symptoms, dates, locations, case and death counts, and more.

    JavaScript 2

  4. FLIRT uses airline flight schedule data to map the commercial flight network. It shows direct flights from a selected location, and can simulate passengers taking multi-leg itineraries.

    JavaScript 4

  5. EIDR Connect takes the data extracted by GRITS and structures it to reconstruct disease events as they are reported across different documents.

    CoffeeScript 1

  6. EpiTator annotates epidemiological information in text documents. It is the natural language processing framework that powers GRITS and EIDR Connect.

    Python 31 8

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