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Transcript assembly improves expression quantification of transposable elements in single cell RNA-seq data
Wanqing Shao, View ORCID ProfileTing Wang
doi: https://doi.org/10.1101/2020.07.31.231027
Wanqing Shao
1Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA
2Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, 63110, USA
Ting Wang
1Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA
2Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, 63110, USA
3McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, 63108, USA
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Posted July 31, 2020.
Transcript assembly improves expression quantification of transposable elements in single cell RNA-seq data
Wanqing Shao, Ting Wang
bioRxiv 2020.07.31.231027; doi: https://doi.org/10.1101/2020.07.31.231027
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