higlass

To help you get started, we've collected the most common ways that higlass is being used within popular public projects.

visdesignlab / cTracks / lib / components / CTracksComp / CTracksComp.js View on Github

this.RetrieveViewID = this.RetrieveViewID.bind(this);
    this.RetrieveLocation_Static = this.RetrieveLocation_Static.bind(this);
    this.RetrieveLocation = this.RetrieveLocation.bind(this);
    this.UpdateViewID = this.UpdateViewID.bind(this);
    this.UpdateAPIInfo = this.UpdateAPIInfo.bind(this);
    this.UpdateCNVData = this.UpdateCNVData.bind(this);
    this.UpdateHiglassView = this.UpdateHiglassView.bind(this);
    this.UpdateConfigFile = this.UpdateConfigFile.bind(this);
    this.ProcessCNVFile = this.ProcessCNVFile.bind(this);
    this.LoadConfigFile = this.LoadConfigFile.bind(this);
    this.Reset = this.Reset.bind(this);

    this.chromInfo = null;
    // fetch ChromosomeInfo from HiGlass
    // this needs to be specified in a config file somewhere
    hglib.ChromosomeInfo('http://higlass.io/api/v1/chrom-sizes/?id=Ajn_ttUUQbqgtOD4nOt-IA', chromInfo => {
      this.chromInfo = chromInfo;
    });
  }

View more ways to use higlass

Introduction

HiGlass is a web-based viewer for datasets too large to view at once. It features synchronized navigation of multiple views as well as continuous zooming and panning for navigation across genomic loci and resolutions. It supports visual comparison of genomic (e.g., Hi-C, ChIP-seq, or bed annotations) and other data (e.g., geographic maps, gigapixel images, or abstract 1D and 2D sequential data) from different experimental conditions and can be used to efficiently identify salient outcomes of experimental perturbations, generate new hypotheses, and share the results with the community.

A live instance can be found at https://higlass.io. A Docker container is available for running an instance locally, although we recommend using the higlass-manage package to start, stop and configure local instances.

For documentation about how to use and install HiGlass, please visit https://docs.higlass.io.

Citation

Kerpedjiev, P., Abdennur, N., Lekschas, F., McCallum, C., Dinkla, K., Strobelt, H., ... & Gehlenborg, N. HiGlass: Web-based Visual Exploration and Analysis of Genome Interaction Maps. Genome Biology (2018): 19:125. https://doi.org/10.1186/s13059-018-1486-1

Example

Development

To run higlass from its source code simply run the following:

npm clean-install // use --legacy-peer-deps if you get peer dependency errors
npm run start

This starts a server in development mode at https://localhost:5173/.

> Warning > The following examples need to be migrated to the latest build. > Once started, a list of the examples can be found at https://localhost:8080/examples.html. > Template viewconfs located at /docs/examples/viewconfs can viewed directly at urls such as https://localhost:8080/apis/svg.html?/viewconfs/overlay-tracks.json.

Tests

The tests for the React components and API functions are located in the test directory. Tests are run with web-test-runner, which you can learn more about the CLI in the documentation.

Useful commands:

• Run all tests: npm test
• Run all tests in interactive "watch" mode: npm test -- --watch
• Run a specific test or "glob" of tests: npm test -- test/APITests.js [--watch]
• Manually run individual tests in an open browser window: npm test -- --manual

Troubleshooting:

• If the installation fails due to sharp > node-gyp try installing the node packages using python2:

  npm ci --python=/usr/bin/python2 && rm -rf node_modules/node-sass && npm ci
  

API

HiGlass provides an API for controlling the component from with JavaScript. Below is a minimal working example to get started and the complete documentation is availabe at docs.higlass.io.

  
  <title>Minimal Working Example · HiGlass</title>
  
  

  <style type="text/css">
    html, body {
      width: 100vw;
      height: 100vh;
      overflow: hidden;
    }
  </style>

  
  
  
  
  

Related

• HiGlass Clodius - Package that provides implementations for aggregation and tile generation for many common 1D and 2D data types
• HiGlass Python - Python bindings to the HiGlass for tile serving, view config generation, and Jupyter Notebook + Lab integration.
• HiGlass Manage - Easy to use interface for deploying a local HiGlass instance
• HiGlass Docker - Build an image containing all the components necessary to deploy HiGlass
• HiGlass Server - Server component for serving multi-resolution data
• HiGlass App - The code for the web application hosted at https://higlass.io
• Cooler - Package for efficient storage of and access to sparse 2D data

License

HiGlass is provided under the MIT License.