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@solgenomics/brapi-graphical-filtering

v1.0.0

Published

- Try it out [here](https://solgenomics.github.io/BrAPI-Graphical-Filtering/example) - Include-ready version can be found under [releases](https://github.com/solgenomics/BrAPI-Pedigree-Viewer/releases). - Also available via npm: `npm install @solgenomics/

Downloads

1

Readme

BrAPI Graphical Filtering GitHub release GitHub (Pre-)Release Date

  • Try it out here
  • Include-ready version can be found under releases.
  • Also available via npm: npm install @solgenomics/brapi-graphical-filtering

GIF of Example Implementation

Usage

The graphical filter exposes a minimal API for initializing and populating the table. It is designed to rely on BrAPI.

Initializing the graphical filter

Use the following snippets (in order) to fully set up a tree.

  1. Create a new GraphicalFilter object
    var gf = GraphicalFilter(
        // BrAPI search of observationUnits to be displayed
        BrAPI("https://brapi.myserver.org/brapi/v1").phenotypes_search(myparams),
        // Accessor describing traits for each observationUnit (returns object)
        function(d) {
            var traits = {}
            d.observations.forEach(function(obs){
                traits[obs.observationVariableName] = obs.value;
            });
            return traits;
        },
        // Accessor describing extra columns to display in the table (returns object)
        function(d) {
            return {
                'Accession':d.germplasmName
            }
        },
        // Order to display the above columns in (array)
        ["Accession"],
        // key to group observationUnits by in the table (key value or undefined for no grouping)
        function(d) { // groupBy function
            return d.germplasmDbId
        }
    );
  2. Then, draw the filter and table.
    gf.draw(
        // div to draw the filter in
        "#filter_div",
        // table to output filtered data to
        "#filtered_results"
    );

Requirements

Requirements for the Example