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 (continued)

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

Files (207.5 GB)
Name Size
md5:cbb6d8520bd4fab9a80f50be9780f200
4.1 MB Download
md5:6b68f49dd591f22bd9381480738afcbc
4.0 MB Download
md5:59c8be93d4c50f24e0152136082b4cbf
207.5 GB Download

Additional details

Created:
December 18, 2023
Modified:
May 4, 2024