Published December 12, 2023 | Version v1
Dataset Open

Efficient and accurate detection of viral sequences at single-cell resolution reveals novel viruses perturbing host gene expression

  • 1. ROR icon California Institute of Technology

Description

Single-cell RNA sequencing count matrices and other data generated in the manuscript "Efficient and accurate detection of viral sequences at single-cell resolution reveals novel viruses perturbing host gene expression". The code used to generate these files can be found here: https://github.com/pachterlab/LSCHWCP_2023

If you use this data, please cite the manuscript: 

Laura Luebbert, Delaney K Sullivan, Maria Carilli, Kristjan Eldjarn Hjorleifsson, Alexander Viloria Winnett, Tara Chari, Lior Pachter (2023). Efficient and accurate detection of viral sequences at single-cell resolution reveals novel viruses perturbing host gene expression. bioRxiv 2023.12.11.571168; doi: https://doi.org/10.1101/2023.12.11.571168

View the manuscript here: https://www.biorxiv.org/content/10.1101/2023.12.11.571168

Files

virus_dlist_dna_alignment_results.zip
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Additional details

Created:
December 12, 2023
Modified:
December 18, 2023