Multimodal datasets, in MuData format
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Updated
Jan 13, 2023 - Python
Multimodal datasets, in MuData format
Pipeline to process sc-ATAC data with pyCistopic
Analysis code for Amrute, Luo et al., Nature (2024): CITE-seq, single-nucleus multiome and spatial transcriptomics of human heart failure identifying FAP+/POSTN+ fibroblasts and IL-1b-driven immune-fibroblast communication.
Targets-based workflow for processing and analyzing single-nucleus 10x Genomics Multiome data
Code for Walker, Saunders, Rai et al., (2021).
Continuation of a developmental ArchR repo, for chromatin accessibility analysis
Official – El Arkhe
A nextflow workflow that wraps SAMap
snRNA+snATAC multiome of AD DLPFC microglia — chromVAR motif analysis, WNN integration, peak-to-gene linkage, Monocle3 trajectory | Signac · Seurat · R
Multiome (RNA+ATAC from same cell) data generated by Qinyu Zhang in David Bryder's lab. Paper here: https://doi.org/10.7554/eLife.91826.2
Personal bioinformatics cookbook of reusable R, Python and Quarto workflows for single-cell, transcriptomics, multi-omics and biomarker analysis.
SSc skin yields six times fewer fibroblast nuclei than healthy skin in GSE312129, a composition confound for any between-group claim from that dataset.
Reproducible benchmark reranking Signac LinkPeaks candidate peak–gene links from PBMC multiome data, with SCENT validation and explicit promoter-proximity controls.
10x multiome sequencing of 3 independent differentiations of stem-cells to pancreatic islets
WDLized Cell Ranger ARC
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