higlass / higlass-python

Python bindings to and Jupyter Notebook+Lab integration for the HiGlass viewer
http://docs-python.higlass.io/
MIT License
54 stars 12 forks source link
jupyter-lab-extension jupyter-notebook-extension python

higlass-python 🔎

A fresh Python library for higlass built on top of:

License Open In Colab

Installation

pip install higlass-python

Usage

import higlass as hg

# Remote data source (tileset)
tileset1 = hg.remote(
    uid="CQMd6V_cRw6iCI_-Unl3PQ",
    server="https://higlass.io/api/v1/",
    name="Rao et al. (2014) GM12878 MboI (allreps) 1kb",
)

# Local tileset
tileset2 = hg.cooler("../data/dataset.mcool")

# Create a `hg.HeatmapTrack` for each tileset
track1 = tileset1.track("heatmap")
track2 = tileset2.track("heatmap")

# Create two independent `hg.View`s, one for each heatmap
view1 = hg.view(track1, width=6)
view2 = hg.view(track2, width=6)

# Lock zoom & location for each `View`
view_lock = hg.lock(view1, view2)

# Concatenate views horizontally and apply synchronization lock
(view1 | view2).locks(view_lock)

Side-by-side Hi-C heatmaps, linked by pan and zoom

To learn more about the new API, check out the updated documentation.

Upgrade Guide

higlass-python v1.0 is a total rewrite of our prior implementation, aimed to offer a more ergonomic and flexible API. While this might present challenges when upgrading existing code, we've prepared documentation to guide you through the new API usage.

If you find a missing feature, please open an issue – we're committed to supporting your use cases with the new API.

Despite the large changes in v1.0, we will strive to avoid breaking changes going forward. However, because of the complete rewrite, the v1.0 release doesn't strictly adhere to semantic versioning. You can think of it as a pre-1.0 release, with breaking changes and new features included in minor releases, and bug fixes in patch releases.

We will aim for strict semantic versioning with the v2.0 release. Your feedback and understanding are greatly appreciated.

Development

higlass-python uses uses uv for development.

Commands Cheatsheet

All commands are run from the root of the project, from a terminal:

Command Action
uv run ruff check --fix && uv run ruff format Lint and apply formatting
uv run check Check linting rules
uv run ruff format --check Check formatting
uv run pytest Run unit tests
uv run docs/build.py Build the documentation in docs/_build/html

This table now includes only the UV-related commands, with each command in the left column and its corresponding action in the right column. The formatting is clean and easy to read.

Our CI enforces formatting, linting, and tests.