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Aim
The aim of this study was to explore the benefits of data integration from different platforms for single nucleus transcriptomics profiling to characterize cell populations in human liver.
Methods
We generated single‐nucleus RNA sequencing data from Chromium 10X Genomics and Drop‐seq for a human liver sample. We utilized state of the art bioinformatics tools to undertake a rigorous quality...
Aim
Infection by hepatitis C virus (HCV) can result in the development of liver fibrosis and may eventually progress into cirrhosis and hepatocellular carcinoma. However, the molecular mechanisms for this process are not fully known. Several genome‐wide association studies have been carried out to pinpoint causative variants in HCV‐infected patient cohorts, but these variants are usually not the...
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