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资源简介：
Processed islet multiome data
应用场景：
创建时间：
2022-04-01
相关数据集
Single-cell microRNA-mRNA co-sequencing reveals non-genetic heterogeneity and mechanisms of microRNA regulation. Single-cell microRNA-mRNA co-sequencing reveals non-genetic heterogeneity and mechanisms of microRNA regulation
Measuring multiple omics profiles from the same single cell opens up the opportunity to decode molecular regulation that underlies intercellular heterogeneity in development and disease. Here, we pres
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Single Cell Multiomics Profiling for the Mouse Polycystic Kidney Disease
We performed multiomics analysis; single nucleus RNA-seq (snRNA-seq) combined with ATAC (snATAC-seq) with 10XGenomics Multiome platform to generate cell-type-specific gene expression and chromatin acc
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Kernel Spectral Joint Embeddings for High-Dimensional Noisy Datasets Using Duo-Landmark Integral Operators
Integrative analysis of multiple heterogeneous datasets has arised in many research fields. Existing approaches oftentimes suffer from limited power in capturing nonlinear structures, insufficient acc
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Additional file 2 of Combined protein and transcript single-cell RNA sequencing in human peripheral blood mononuclear cells
Additional file 2: Data S1. (separate excel file). Data underlying Figure 5, dotplots of DEGs for disease types.
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snATAC-seq and snRNA-seq in the chromatin landscape of healthy and injured cell types in the human kidney
Isolated nuclei were immediately processed using the Chromium Next GEM Single Cell Multiome ATAC + Gene Expression (v1.0) kit, following the step-by-step protocol provided online [https://dx.doi.org/1
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