Standard scRNAseq preprocessing workflow with Seurat | Beginner R

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  • Опубліковано 27 сер 2024

КОМЕНТАРІ • 21

  • @jajaja20703
    @jajaja20703 Рік тому +4

    Great video! Would love to see more of the story and have a more advanced analysis of this dataset!

  • @keshavprasad6485
    @keshavprasad6485 Рік тому +2

    It was an excellent explanative video. Thank you very much for your efforts. What I particularly like about your video is that you not only explain what is the next step to be done (along with the code) but you also explain the reasoning and the advanatges of implementing the particular step. Just alist of steps one can also find it in the respective seurat tutorial page but your explanations is I think the key differentiator between your work and other videos in this space. Please do keep them going. I would suggest that you could make a full series on scRNAseq, spatial transcriptomics , scATACseq etc.

    • @biostatsquid
      @biostatsquid  Рік тому

      Thank you so much for your feedback Keshav! I am glad you liked it and thanks for those great ideas on new topics!

  • @huyquach5044
    @huyquach5044 Рік тому +1

    Thank you very much for the video. It is so happy for me to know your channel. When you have time, please make a video for using WGCNA package. Thank you.

    • @biostatsquid
      @biostatsquid  Рік тому +1

      Thank you Huy! I have not worked with weighted correlation network analysis (yet!) but I'll write it down in my to-do list:) Thanks for the suggestion!

  • @mortezahadizadeh9637
    @mortezahadizadeh9637 Рік тому

    I greatly appreciate your tutorial.

  • @ambrosia9094
    @ambrosia9094 9 місяців тому

    Keep teaching very helpful 🙏

  • @davidguardamino
    @davidguardamino 10 місяців тому

    amazing video!!! thank you so much!!!

  • @mlu213
    @mlu213 5 місяців тому

    Really great tutorial! Any chance you could make that short tutorial about the structure of a Seurat object for beginners?

  • @hossein37
    @hossein37 Рік тому +1

    Thank you

  • @mihacerne7313
    @mihacerne7313 Рік тому +2

    Squidtastic!

  • @puspendughosh9573
    @puspendughosh9573 Рік тому

    Kindly make a tutorial for monocle3 & trajectory analysis using 10x genomics data.

  • @user-il4jz8mu6o
    @user-il4jz8mu6o 3 місяці тому

    How I can do interrogating the sample PBMC clusters for the following genes : CD68
    CD45
    Sox10
    CD44
    any similar video will be great ? thank you

  • @fred-w4b
    @fred-w4b 8 днів тому

    are you running this on linux? According to you video your max RAM should be around 8-10GB. I tried to run it on my mac with 18GB of RAM (nothing else opened) and it maxed out. I am surprised by how efficiently your machine handles the memory

    • @biostatsquid
      @biostatsquid  6 днів тому

      Hi - depends on how big your dataset is - but yes, I ran it on a PC machine, 16GB.

  • @thedizzyyak
    @thedizzyyak 6 місяців тому

    Are you able to explain why a threshold of 2500 was used for the nFeature_RNA filtering? Looking at the FeatureScatter plot it is not obvious to me that this should be the cutoff. What is the reasoning behind 2500? Thanks for the video!

  • @poojaparis
    @poojaparis 10 місяців тому

    Do you use dropletutils for selecting single cells?

    • @biostatsquid
      @biostatsquid  10 місяців тому

      Hi Pooja, thanks for your comment! I haven't used dropletutils to filter our doublets, more recently I switched to DoubletFinder if that helps!

  • @sanjaisrao484
    @sanjaisrao484 Рік тому

    Mam, Rstudio crashes if I use ScaleData function, what to do 😢

    • @biostatsquid
      @biostatsquid  Рік тому

      Hi Sanjai, it might be a memory issue. A quick search got me this which might help, but you might need another solution:
      community.rstudio.com/t/silent-memory-limit-exceeding-scaledata-from-seurat-causes-crash/17990
      Hope you solve it!

  • @user-mw2pf8tw6c
    @user-mw2pf8tw6c 7 місяців тому

    Great video! thank you so much!!!