higlass

!Build Status

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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.

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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

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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/viewconfs can viewed directly at urls such as http://localhost:8080/apis/svg.html?/viewconfs/overlay-tracks.json.

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The tests for the React components and API functions are located in the test
directory. Tests are run with vitest.

Useful commands:

- Run all tests in the browser: npm test -- --browser.headless=false

See the contributing guide to learn more.

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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.

`html









``

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* 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

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HiGlass is provided under the MIT License.