We prepared these datasets associated with the paper “Spatially resolved epigenomic profiling of single cells in complex tissues” published in Cell (DOI:10.1016/j.cell.2022.09.035). Please find detailed descriptions of individual data files in the README.txt. We provide codes for sequence and image analysis at: https://github.com/ZhuangLab/Epigenomic_MERFISH. If you use these datasets, please cite our Cell paper
The mammalian brain consists of a vast network of neurons and non-neuronal cells with diverse morpho...
EpiScanpy is a toolkit for the analysis of single-cell epigenomic data, namely single-cell DNA methy...
- Code and example data used for the manuscript "Subcellular spatially resolved gene neighborhood ne...
Thesis (Ph.D.)--University of Washington, 2022Traditional methods for profiling DNA-protein binding ...
International audienceWhile major advances in single cell transcriptomics have occurred, the epigeno...
The deeper understanding of an organism's pathology is important for developing treatments. Over cen...
Emerging spatial technologies, including spatial transcriptomics and spatial epigenomics, are becomi...
Single-cell technologies have emerged as powerful tools to analyze complex tissues at the single-cel...
EpiSCORE is an R-package for constructing a tissue-specific DNA methylation reference matrix that ca...
Abstract Recent advances in genome‐wide technologies have enabled analyses using small cell numbers ...
We prepared these datasets associated with the paper “Genome-scale imaging of the 3D organization an...
All files below are in "h5ad" format, which can be opened by the Python package AnnData (see https:/...
Understanding multicellular physiology and pathobiology requires analysis of the relationship betwee...
Emerging single-cell epigenomic methods are being developed with the exciting potential to transform...
The mammalian brain consists of a vast network of neurons and non-neuronal cells with diverse morpho...
The mammalian brain consists of a vast network of neurons and non-neuronal cells with diverse morpho...
EpiScanpy is a toolkit for the analysis of single-cell epigenomic data, namely single-cell DNA methy...
- Code and example data used for the manuscript "Subcellular spatially resolved gene neighborhood ne...
Thesis (Ph.D.)--University of Washington, 2022Traditional methods for profiling DNA-protein binding ...
International audienceWhile major advances in single cell transcriptomics have occurred, the epigeno...
The deeper understanding of an organism's pathology is important for developing treatments. Over cen...
Emerging spatial technologies, including spatial transcriptomics and spatial epigenomics, are becomi...
Single-cell technologies have emerged as powerful tools to analyze complex tissues at the single-cel...
EpiSCORE is an R-package for constructing a tissue-specific DNA methylation reference matrix that ca...
Abstract Recent advances in genome‐wide technologies have enabled analyses using small cell numbers ...
We prepared these datasets associated with the paper “Genome-scale imaging of the 3D organization an...
All files below are in "h5ad" format, which can be opened by the Python package AnnData (see https:/...
Understanding multicellular physiology and pathobiology requires analysis of the relationship betwee...
Emerging single-cell epigenomic methods are being developed with the exciting potential to transform...
The mammalian brain consists of a vast network of neurons and non-neuronal cells with diverse morpho...
The mammalian brain consists of a vast network of neurons and non-neuronal cells with diverse morpho...
EpiScanpy is a toolkit for the analysis of single-cell epigenomic data, namely single-cell DNA methy...
- Code and example data used for the manuscript "Subcellular spatially resolved gene neighborhood ne...