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- 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 - 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 - 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.
aertslab/pySCENIC’s past year of commit activity - 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 - CREsted-paper Public
aertslab/CREsted-paper’s past year of commit activity
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