bioinformatics pipeline for single-nucleus methylation & chromatin conformation capture assay (sn-m3C-seq)
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Updated
May 20, 2024 - Jupyter Notebook
bioinformatics pipeline for single-nucleus methylation & chromatin conformation capture assay (sn-m3C-seq)
Luo Lab snmCT-seq bioinformatics pipeline for joint single-nucleus methylation & transcriptome profiles.
Containerized workflow for single cell detection of loss of Y chromosome and other mosaic chromosomal alterations in chronic kidney disease
Workflow to identify functional cis-regulatory regions for each annotated cell type
Multimodal profiling reveals site-specific adaptation and tissue residency hallmarks of γδ T cells across organs in mice.
R and MATLAB scripts for MAGICAL
Python package implementing our method MatchCLOT for multimodal single-cell data integration
scNOVA : Single-Cell Nucleosome Occupancy and genetic Variation Analysis
𝒫robabilistic modeling of RNA velocity ⬱
R package to visualize gene expression data based on weighted kernel density estimation
An unsupervised approach for the integrative analysis of single-cell multi-omics data
Tutorial of single-cell RNA-ATAC multiomic sequencing data analysis
Context specific and dynamic gene regulatory network reconstruction and analysis
Graph-linked unified embedding for single-cell multi-omics data integration
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