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scFlow: A Scalable and Reproducible Analysis Pipeline for Single-Cell RNA Sequencing Data

View ORCID ProfileCombiz Khozoie, Nurun Fancy, Mahdi M. Marjaneh, View ORCID ProfileAlan E. Murphy, View ORCID ProfilePaul M. Matthews, Nathan Skene
doi: https://doi.org/10.1101/2021.08.16.456499
Combiz Khozoie
1UK Dementia Research Institute, Imperial College London
2Department of Brain Sciences, Imperial College London, United Kingdom
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  • ORCID record for Combiz Khozoie
  • For correspondence: c.khozoie@imperial.ac.uk
Nurun Fancy
1UK Dementia Research Institute, Imperial College London
2Department of Brain Sciences, Imperial College London, United Kingdom
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Mahdi M. Marjaneh
1UK Dementia Research Institute, Imperial College London
2Department of Brain Sciences, Imperial College London, United Kingdom
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Alan E. Murphy
1UK Dementia Research Institute, Imperial College London
2Department of Brain Sciences, Imperial College London, United Kingdom
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  • ORCID record for Alan E. Murphy
Paul M. Matthews
1UK Dementia Research Institute, Imperial College London
2Department of Brain Sciences, Imperial College London, United Kingdom
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Nathan Skene
1UK Dementia Research Institute, Imperial College London
2Department of Brain Sciences, Imperial College London, United Kingdom
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Posted August 19, 2021.
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scFlow: A Scalable and Reproducible Analysis Pipeline for Single-Cell RNA Sequencing Data
Combiz Khozoie, Nurun Fancy, Mahdi M. Marjaneh, Alan E. Murphy, Paul M. Matthews, Nathan Skene
bioRxiv 2021.08.16.456499; doi: https://doi.org/10.1101/2021.08.16.456499
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scFlow: A Scalable and Reproducible Analysis Pipeline for Single-Cell RNA Sequencing Data
Combiz Khozoie, Nurun Fancy, Mahdi M. Marjaneh, Alan E. Murphy, Paul M. Matthews, Nathan Skene
bioRxiv 2021.08.16.456499; doi: https://doi.org/10.1101/2021.08.16.456499

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