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.
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
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 start
This starts a server in development mode at http://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 http://localhost:8080/examples.html. Template viewconfs located at
/docs/examples/viewconfscan viewed directly at urls such as http://localhost:8080/apis/svg.html?/viewconfs/overlay-tracks.json.
The tests for the React components and API functions are located in the test
directory. Tests are run with vitest.
Useful commands:
npm test -- --browser.headless=falseSee the contributing guide to learn more.
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.
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<title>Minimal Working Example · HiGlass</title>
<style type="text/css">
html, body {
width: 100vw;
height: 100vh;
overflow: hidden;
}
</style>
</head>
<body></body>
<script type="module">
import * as hglib from "https://esm.sh/higlass@1.13";
const api = hglib.viewer(
document.body,
'https://higlass.io/api/v1/viewconfs/?d=default',
{ bounded: true },
);
</script>
</html>
HiGlass is provided under the MIT License.
FAQs
HiGlass Hi-C / genomic / large data viewer
The npm package higlass receives a total of 611 weekly downloads. As such, higlass popularity was classified as not popular.
We found that higlass demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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