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I was wondering whether kallisto bus is able to process the fast files produced by this way and if that's the case, they should just be run on the .gex directory, right?
Thank you very much for any help you can provide here,
Best,
Kike
The text was updated successfully, but these errors were encountered:
kikegoni
changed the title
Analyse CellPlex fast files
Analyse CellPlex data
Jun 4, 2021
Yes this is possible using the kite workflow implemented in kb. Soon we will be releasing a manuscript that describes the method in detail but in the meantime you can follow along on this repo: https://github.com/sbooeshaghi/BMGP_2020/
(edit) I also transferred this issue over to the kb_python repo.
Hey,
First of all thanks for developing the kallisto bus for scRNA-seq, it's proven to be very useful.
I was wondering whether is possible to process fast files processed with CellPlex technology (Cell Multiplexing, from 10X).
For example, if we download the fast files from this dataset https://support.10xgenomics.com/single-cell-gene-expression/datasets/6.0.0/SC3_v3_NextGem_DI_CellPlex_Mouse_PBMC_10K_Multiplex we can see three fast ids:
You can see this here:
10x has modified the classical "cellranger count" processing they do traditionally https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/using/multi and they do now "cell ranger multi".
I was wondering whether kallisto bus is able to process the fast files produced by this way and if that's the case, they should just be run on the .gex directory, right?
Thank you very much for any help you can provide here,
Best,
Kike
The text was updated successfully, but these errors were encountered: