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  1. SCope SCope Public

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

    Python 69 15

  2. pySCENIC 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 479 186

  3. AUCell AUCell Public

    AUCell: score single cells with gene regulatory networks

    R 145 28

  4. pycisTopic pycisTopic Public

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

    Jupyter Notebook 64 13

  5. scenicplus 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 205 39

  6. CREsted 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 32 5

Repositories

Showing 10 of 73 repositories
  • 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.

    aertslab/CREsted’s past year of commit activity
    Python 32 5 2 5 Updated Mar 9, 2025
  • pycisTopic Public

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

    aertslab/pycisTopic’s past year of commit activity
    Jupyter Notebook 64 13 48 3 Updated Mar 8, 2025
  • scatac_fragment_tools Public

    Tools for working with scATAC-seq fragment files

    aertslab/scatac_fragment_tools’s past year of commit activity
    Python 6 0 0 0 Updated Mar 6, 2025
  • create_cisTarget_databases Public

    Create cisTarget databases

    aertslab/create_cisTarget_databases’s past year of commit activity
    Python 45 8 34 0 Updated Feb 6, 2025
  • DeepBrain Public

    DeepBrain: a collection of vertebrate sequence-based enhancer models aimed at understanding brain cell type enhancer code across and within species

    aertslab/DeepBrain’s past year of commit activity
    Jupyter Notebook 6 0 0 0 Updated Jan 30, 2025
  • 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.

    aertslab/scenicplus’s past year of commit activity
    Jupyter Notebook 205 39 140 6 Updated Jan 23, 2025
  • pycistarget Public

    pycistarget is a python module to perform motif enrichment analysis in sets of regions with different tools and identify high confidence TF cistromes.

    aertslab/pycistarget’s past year of commit activity
    Python 17 4 15 0 Updated Jan 21, 2025
  • 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.

    aertslab/single_cell_toolkit’s past year of commit activity
    Shell 25 4 2 0 Updated Jan 6, 2025
  • regulatory_regions_delineation Public

    Create regulatory regions delineation

    aertslab/regulatory_regions_delineation’s past year of commit activity
    Python 1 0 0 0 Updated Nov 15, 2024
  • aertslab/PUMATAC_tutorial’s past year of commit activity
    Jupyter Notebook 7 2 0 0 Updated Oct 6, 2024

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