Published December 12, 2023 | Version v1
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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)

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md5:cbb6d8520bd4fab9a80f50be9780f200
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md5:6b68f49dd591f22bd9381480738afcbc
4.0 MB Download
md5:59c8be93d4c50f24e0152136082b4cbf
207.5 GB Download

Additional details

Related works

Is continued by
Dataset: 10.22002/krqmp-5hy81 (DOI)
Is documented by
Journal article: 10.1101/2023.12.11.571168 (DOI)