This dataset contains data objects associated with our paper "Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation" (https://www.biorxiv.org/content/10.1101/2020.05.21.103820v1). In particular, 1) four objects containing scRNA-seq normalised counts for: - all cells from each of day 11, day 30 and day 52, respectively (i.e. D11.h5, D30.h5 and D52.h5) - a subsample of 20% cells across all time points (all_timepoints_subsampled.h5). 2) one compressed folder containing eQTL summary statistics for each of the 14 contexts (cell type + condition) analysed in the paper. 3) two compressed files containing summary statistics for colocalisation analyses between 25 neurological traits and our 14 eQTL maps (neu...
This dataset contains sequencing read count data related to samples from differentiating human neuro...
To better understand dendritic cell states and subtypes, we collected individual single-cell RNAseq ...
Abstract: Single-cell RNA sequencing (scRNA-seq) is a widely used method for identifying cell types ...
This dataset contains data objects associated with our paper "Population-scale single-cell RNA-seq p...
<p>Recent advances in single-cell technologies are paving the way to a comprehensive understanding o...
Using RNA sequencing, we can examine distinctions between different cell types and capture a moment ...
This submission contains three DESeqDataSet objects with RNA-seq count data. The files "rnaseq-brai...
Abstract Single-cell RNA-sequencing (scRNA-seq) is revolutionizing our understanding of the genomic,...
Datasets associated with our paper "Single-cell RNA-sequencing of differentiating iPS cells reveals ...
Single-cell transcriptome sequencing (scRNA-Seq), which combines high-throughput single-cell extract...
This dataset contains eQTL summary statistics for all SNPs-gene pairs in 8 major brain cell types (w...
Multicellular organisms have many cell types and are complex, and heterogeneity is common among cell...
This dataset contains all single-cell RNA-seq data samples collected in association with : Chen et a...
(A) Pie chart showing total genes expressed in bulk RNA-seq and the proportion of gene coverage comp...
Recent technical advances have enabled transcriptomics experiments at an unprecedented scale, and si...
This dataset contains sequencing read count data related to samples from differentiating human neuro...
To better understand dendritic cell states and subtypes, we collected individual single-cell RNAseq ...
Abstract: Single-cell RNA sequencing (scRNA-seq) is a widely used method for identifying cell types ...
This dataset contains data objects associated with our paper "Population-scale single-cell RNA-seq p...
<p>Recent advances in single-cell technologies are paving the way to a comprehensive understanding o...
Using RNA sequencing, we can examine distinctions between different cell types and capture a moment ...
This submission contains three DESeqDataSet objects with RNA-seq count data. The files "rnaseq-brai...
Abstract Single-cell RNA-sequencing (scRNA-seq) is revolutionizing our understanding of the genomic,...
Datasets associated with our paper "Single-cell RNA-sequencing of differentiating iPS cells reveals ...
Single-cell transcriptome sequencing (scRNA-Seq), which combines high-throughput single-cell extract...
This dataset contains eQTL summary statistics for all SNPs-gene pairs in 8 major brain cell types (w...
Multicellular organisms have many cell types and are complex, and heterogeneity is common among cell...
This dataset contains all single-cell RNA-seq data samples collected in association with : Chen et a...
(A) Pie chart showing total genes expressed in bulk RNA-seq and the proportion of gene coverage comp...
Recent technical advances have enabled transcriptomics experiments at an unprecedented scale, and si...
This dataset contains sequencing read count data related to samples from differentiating human neuro...
To better understand dendritic cell states and subtypes, we collected individual single-cell RNAseq ...
Abstract: Single-cell RNA sequencing (scRNA-seq) is a widely used method for identifying cell types ...