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Analyse CellPlex data #136

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kikegoni opened this issue Jun 4, 2021 · 3 comments
Closed

Analyse CellPlex data #136

kikegoni opened this issue Jun 4, 2021 · 3 comments
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@kikegoni
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kikegoni commented Jun 4, 2021

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:

  • 1 referring to the library (get file) and the other two referring to the 2 CMOs that mark each sample.

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

@kikegoni kikegoni changed the title Analyse CellPlex fast files Analyse CellPlex data Jun 4, 2021
@sbooeshaghi
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sbooeshaghi commented Jun 15, 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.

@sbooeshaghi sbooeshaghi transferred this issue from pachterlab/kallisto Jun 15, 2021
@jasegehring
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this repo has the walkthrough while we prepare the manuscript :) https://github.com/pachterlab/kite

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This issue is stale because it has been open 30 days with no activity. Remove stale label or comment or this will be closed in 5 days

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