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  1. SCope Public

    Fast visualization tool for large-scale and high dimensional single-cell data

    Python 74 15

  2. pySCENIC Public

    pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene reg…

    Python 518 194

  3. AUCell Public

    AUCell: score single cells with gene regulatory networks

    R 156 28

  4. pycisTopic Public

    pycisTopic is a Python module to simultaneously identify cell states and cis-regulatory topics from single cell epigenomics data.

    Jupyter Notebook 68 12

  5. scenicplus Public

    SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.

    Jupyter Notebook 228 43

  6. CREsted Public

    CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.

    Python 41 7

Repositories

Showing 10 of 76 repositories
  • single_cell_toolkit Public

    Tools for correcting single cell barcodes for various scATAC-seq techniques and creating fragment files and spltting BAM files per cluster.

    Shell 27 4 3 0 Updated Jun 30, 2025
  • pycisTopic Public

    pycisTopic is a Python module to simultaneously identify cell states and cis-regulatory topics from single cell epigenomics data.

    Jupyter Notebook 68 12 50 4 Updated Jun 27, 2025
  • pySCENIC Public

    pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

    Python 518 GPL-3.0 194 223 3 Updated Jun 26, 2025
  • scenicplus_core Public

    Collection of common algorithms and functions for all SCENIC+ related tools.

    Rust 0 0 0 0 Updated Jun 20, 2025
  • create_cisTarget_databases Public

    Create cisTarget databases

    Python 52 7 35 0 Updated Jun 18, 2025
  • CREsted Public

    CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.

    Python 41 7 5 4 Updated Jun 18, 2025
  • mango-ingest Public Forked from kuleuven/mango-ingest
    Python 0 BSD-3-Clause 2 0 0 Updated Jun 12, 2025
  • scatac_fragment_tools Public

    Tools for working with scATAC-seq fragment files

    Python 6 0 0 1 Updated Jun 11, 2025
  • CREsted-paper Public
    Jupyter Notebook 1 MIT 0 0 0 Updated Apr 23, 2025
  • Nova-ST Public

    A repository containing the analysis scripts for Nova-ST data

    Jupyter Notebook 9 0 1 0 Updated Apr 3, 2025

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