Work

scSNV-seq data

Year: 2023

Type: dataset

Abstract: Processed data and code from base editing and scSNV-seq experiments. This is a small update to the previous version, adding the files features_genotyped_experiment.tsv, features_non_genotyped_experiment.tsv, barcodes_genotyped_experiment.tsv, barcodes_non_genotyped_experiment.tsv. These data had already been available as part of the respective SingleCellExperiments in the previous commit. The tsv files have now been added to improve accessibility to the data without the requirement of using R. The code has been deposited on GitHub (https://github.com/MarioniLab/scSNV-seq).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7941285

Authors: Cooper, Sarah E., Coelho, Matthew A., Strauss, Magdalena E., Gontarczyk, Aleksander M., Wu, Qianxin, Garnett, Mathew J., Marioni, John C., Bassett, Andrew R.

Institutions: Wellcome Sanger Institute, Open Targets, European Bioinformatics Institute, University of Cambridge, Cancer Research UK

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4393604621

Cites:

Cited by: 1

Related to: 10