There has been a lot of debate over preprocessing methods for velocity analysis, however alevin-fry is proving to be a robust solution. Meanwhile scVelo has already established itself as a popular velocity analysis tool in Python and while many users might export their data from R into Python to run scVelo natively, many R / BioC users reach for the Velociraptor package that creates an R wrapper for scVelo while also maintaining the SCE data-structure for working with other Bioconductor packages. By giving less advanced users an out of the box solution for importing alevin-fry into Velociraptor we open the doors for them to use alevin-fry and gain all the benefits that come with this preprocessing technique.
Apologies , VSCode has messed up the git tracking apparently.
There has been a lot of debate over preprocessing methods for velocity analysis, however alevin-fry is proving to be a robust solution. Meanwhile scVelo has already established itself as a popular velocity analysis tool in Python and while many users might export their data from R into Python to run scVelo natively, many R / BioC users reach for the Velociraptor package that creates an R wrapper for scVelo while also maintaining the SCE data-structure for working with other Bioconductor packages. By giving less advanced users an out of the box solution for importing alevin-fry into Velociraptor we open the doors for them to use alevin-fry and gain all the benefits that come with this preprocessing technique.
Apologies , VSCode has messed up the git tracking apparently.