Published July 11, 2023 | Version 0.0.1
Dataset Open

zebrafish GSE223922 scRNA data set objects

Authors/Creators

  • 1. Max Planck Institute for Evolutionary Biology

Description

scRNA data from https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223922 (Sur et al. 2023), see a detailed description of the study here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055256/

Data were downloaded from https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223922 to create a R Seurat object and converted into AnnData (h5ad) file to be able to analyse with e.g. python scanpy package.

If you use this data, please cite Sur et al. 2023.

Files

Files (31.1 GB)

Name Size
md5:b70a862490be78a1c1147ecf24d18291
10.4 GB Download
md5:d35764959781a83ccbca752df02554dd
20.7 GB Download

Additional details

References

  • Satija, R., Farrell, J.A., Gennert, D., Schier, A.F. and Regev, A., 2015. Spatial reconstruction of single-cell gene expression data. Nature biotechnology, 33(5), pp.495-502.
  • Wolf, F.A., Angerer, P. and Theis, F.J., 2018. SCANPY: large-scale single-cell gene expression data analysis. Genome biology, 19(1), pp.1-5.
  • Sur, A., Wang, Y., Capar, P., Margolin, G. and Farrell, J.A., 2023. Single-cell analysis of shared signatures and transcriptional diversity during zebrafish development. bioRxiv, pp.2023-03.