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@AAGI-AUS

Analytics for the Australian Grains Industry (AAGI)

Analytics, statistics, bioinformatics and modelling support for the Australian grains industry

Analytics for the Australian Grains Industry (AAGI)

Analytics for the Australian Grains Industry (AAGI) is a five-year strategic partnership aimed at harnessing analytics to drive the sector’s profitability and global competitiveness.

This GitHub organisation is the home for the AAGI project's publicly available outputs and other resources that can be shared.

AAGI is led by three strategic partners: Curtin University, University of Queensland, and University of Adelaide along with the Grains Research and Development Corporation. The strategic partners work with project and associate partner organisations that include leading Australian and international universities, federal and state government research agencies, and commercial technology and analytics providers, to expand the sector’s analytics capability and tackle the Australian grains industry’s biggest challenges.

AAGI-AUS R-Universe for R Users

AAGI maintains an R-Universe for easy installation of our R packages, https://aagi-aus.r-universe.dev/packages. You can enable it like so:

options(repos = c(
    aagi_aus = "https://aagi-aus.r-universe.dev",
    CRAN = "https://cloud.r-project.org"))

Once enabled, you can install any of our R packages by simply using install.packages("package_name_here"). More detailed install instructions are provided in the packages' respective respositories.

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  1. Repositories-Guidelines Repositories-Guidelines Public

    Provides guidance on the current state of the github repos and creating, managing and approving repositories and making changes to them, and instructions/recommendations on licencing.

  2. AAGI-Style-Guide-and-Logos AAGI-Style-Guide-and-Logos Public

    The AAGI Logo and Comms Style Guide and Logo Files

  3. InPlotSampling InPlotSampling Public

    A package for ranked set sampling and statistical inference

    R 4

  4. CBADASReml CBADASReml Public

    A collection of helper functions for small-plot trial analysis using ASReml-R

    R 1

  5. PacB-flow PacB-flow Public

    🌊 🔗 PacBio long reads assebly workflow based on Nextflow

    Nextflow

  6. NanoAssem-flow NanoAssem-flow Public

    Pipeline for QC and assembly of ONT reads

    Nextflow 1

Repositories

Showing 10 of 25 repositories

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