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Single-cell RNA counting at allele- and isoform-resolution using Smart-seq3
View ORCID ProfileMichael Hagemann-Jensen, View ORCID ProfileChristoph Ziegenhain, View ORCID ProfilePing Chen, View ORCID ProfileDaniel Ramsköld, View ORCID ProfileGert-Jan Hendriks, View ORCID ProfileAnton J.M. Larsson, Omid R. Faridani, View ORCID ProfileRickard Sandberg
doi: https://doi.org/10.1101/817924
Michael Hagemann-Jensen
1Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
Christoph Ziegenhain
1Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
Ping Chen
2Integrated Cardio Metabolic Center (ICMC), Karolinska Institutet, Stockholm, Sweden
Daniel Ramsköld
1Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
Gert-Jan Hendriks
1Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
Anton J.M. Larsson
1Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
Omid R. Faridani
2Integrated Cardio Metabolic Center (ICMC), Karolinska Institutet, Stockholm, Sweden
3Lowy Cancer Research Centre, School of Medical Sciences, University of New South Wales, Sydney, Australia
4Garvan Institute of Medical Research, Sydney, Australia
Rickard Sandberg
1Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
2Integrated Cardio Metabolic Center (ICMC), Karolinska Institutet, Stockholm, Sweden
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Posted October 25, 2019.
Single-cell RNA counting at allele- and isoform-resolution using Smart-seq3
Michael Hagemann-Jensen, Christoph Ziegenhain, Ping Chen, Daniel Ramsköld, Gert-Jan Hendriks, Anton J.M. Larsson, Omid R. Faridani, Rickard Sandberg
bioRxiv 817924; doi: https://doi.org/10.1101/817924
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