Single nuclei RNA-Seq analysis of Fzt:DU and BL6 mice

No description specified

DOI: 10.15490/fairdomhub.1.assay.1227.1

Zenodo URL: None

Created at: 27th Feb 2020 at 11:09

Contents

Nuclei characteristics for the single nuclei analysis of Fzt:DU and BL6 mice

File contains the detailed cluster names for each data set, number of nuclei per cluster, average reads per nucleus, and average reads per cluster.

  • Nuclei.xlsx

Marker genes for single nuclei clusters

This file contains the IDs, adj. p-values and official gene names of the top 100 marker genes (where applicable) for each of the identified cluster.

  • Marker_genes100_integrated.csv

UNIX script for snRNA-Seq processing

No description specified

  • UNIX script for snRNAseq Wolfien et al.txt

R script for single nuclei analysis

This R-script contains the single nuclei analysis for our Fzt:DU and BL6 data, namely bustools file integration, preprocessing, scaling, clustering, marker indentification and annotation of markers and RNAvelocity computation.

  • R script for snRNAseq Wolfien et al.R

Dotplot for the top 100 markers per cluster

This PDF contains a dotplot indicating the gene expression of the top 100 markers (where applicable) for each of the identified 23 clusters.

  • top100markers_per_cluster.pdf

Materials and Methods

This file contains a detailed description of the underlying experimental procedure and the computational analysis.

  • Materials and Methods snRNA-seq.pdf
Fingerprints

These checksums allow you to check a Snapshot you have downloaded hasn't been modified. For details on how to use these please visit this guide

MD5: dd4c9ccba9f0a06e350ab66cb6a6789f

SHA1: 525dc6164b2d130d7cff044c75f505f5dfa0b2b2

Citation
Wolfien, M., Galow, A.-M., & Müller, P. (2020). Single nuclei RNA-Seq analysis of Fzt:DU and BL6 mice. FAIRDOMHub. https://doi.org/10.15490/FAIRDOMHUB.1.ASSAY.1227.1
Snapshots
Snapshot 1 (27th Feb 2020) DOI
Activity

Views: 1092   Downloads: 21

Created: 27th Feb 2020 at 11:09

Last updated: 27th Feb 2020 at 11:09

Powered by
(v.1.16.0)
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH