ATLAS#

Tests Documentation Python Version Codecov

ATLAS is a framework for multi-omic trajectory inference from paired single-cell RNA and ATAC sequencing data. By integrating transcriptional and chromatin accessibility information within a unified representation, ATLAS enables pseudotime reconstruction and cell fate prediction that directly incorporate regulatory dynamics. See our publication to learn more:

Leclercq, A., Martini, L., Bardini, R., Savino, A., & Di Carlo, S. (2026). ATLAS: A scverse-compatible package for multi-omic single-cell trajectory inference integration. bioRxiv. https://doi.org/10.64898/2026.05.23.727175

ATLAS workflow

ATLAS main functionalities include:

  • Computation of gene activity from scATAC-seq data

  • Support for multi-omics representations using MuData

  • Creation of a Weighted Nearest Neighbors graph

  • Trajectory inference based on multiple strategies

  • Trajectory evaluation based on unsupervised metrics

Getting started#

Please refer to the documentation in particular, the API documentation.

Installation#

To install ATLAS plase use:

pip install atlas-smilies

Release notes#

See the CHANGELOG.

Contact#

For questions, bug report and help requests, please use the issue tracker.

Disclaimer#

This project includes third-party code under MIT and BSD-3 licenses, see THIRD_PARTY_NOTICES for details.