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Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
View ORCID ProfileLuke Zappia, View ORCID ProfileFabian J. Theis
doi: https://doi.org/10.1101/2021.08.13.456196
Luke Zappia
1Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
2Department of Mathematics, Technical University of Munich, 85748 Garching bei München, Germany
Fabian J. Theis
1Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
2Department of Mathematics, Technical University of Munich, 85748 Garching bei München, Germany
3TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany
Posted September 03, 2021.
Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Luke Zappia, Fabian J. Theis
bioRxiv 2021.08.13.456196; doi: https://doi.org/10.1101/2021.08.13.456196
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