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

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DataCite Commons2023-12-18 更新2024-07-13 收录
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https://data.caltech.edu/doi/10.22002/sh33z-hrx98
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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

本数据集包含论文《基于单细胞分辨率高效精准检测病毒序列,揭示扰动宿主基因表达的新型病毒》(英文原标题:Efficient and accurate detection of viral sequences at single-cell resolution reveals novel viruses perturbing host gene expression)中生成的单细胞RNA测序计数矩阵及其他相关数据。生成该数据集文件所用的代码可在此处获取:https://github.com/pachterlab/LSCHWCP_2023。 若您使用本数据集,请引用以下论文: 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 您可在此处查看该论文:https://www.biorxiv.org/content/10.1101/2023.12.11.571168
提供机构:
CaltechDATA
创建时间:
2023-12-12
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