Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Try the next-generation Data Catalog at catalog-beta.data.gov and help shape it with your feedback.

  • Feedback

    • Generalised Read-Across Prediction using genra-py

    Metadata Updated: January 24, 2022

    Read-across (RAX) is a widely used data gap filling approach and the authors have developed a data-driven tool, called GenRA, to support expert-driven RAX. This work describes a stand-alone Python 3 package, called genra-py, which enables end-users to conduct hazard identification and point of departure (POD) estimation using GenRA.

    This dataset is associated with the following publication: Shah, I., T. Tate, and G. Patlewicz. Generalised Read-Across Prediction using genra-py. BIOINFORMATICS. Oxford University Press, Cary, NC, USA, 37(19): 3380-3381, (2021).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.1093/bioinformatics/btab210

    Dates

    Metadata Created Date January 24, 2022
    Metadata Updated Date January 24, 2022

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 24, 2022
    Metadata Updated Date January 24, 2022
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1520471
    Data Last Modified 2020-12-14
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id a4de8718-c47a-4ac9-ab99-7d60982a7f0f
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:000
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1093/bioinformatics/btab210
    Source Datajson Identifier True
    Source Hash dc8a2096d6a864e8e97aca66e4aff072977c58bc
    Source Schema Version 1.1

    Didn't find what you're looking for? Suggest a dataset here.