Joseph Min

@lioscro

Caltech Class of 2020. Undergraduate researcher. Bioinformatistician. Software engineer, programmer.

Pasadena, CA
Vrijeme pridruživanja: listopad 2019.

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  1. proslijedio/la je Tweet
    3. velj

    I've spent a lot of time the past two weeks writing and editing R and python code for analysis. Python has eclipsed R. Don't @ me.

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  2. 3. velj

    Can't imagine how many times he had to practice this to condense that much information.

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  3. proslijedio/la je Tweet
    1. velj
    Odgovor korisnicima i sljedećem broju korisnika:

    Here's the analysis; hopefully this clarifies the issue: I'm disappointed how the Ensembl website is unclear about this. Yeah, and I'm using what I learnt at !

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  4. proslijedio/la je Tweet
    28. sij

    I'm teaching an introduction (to an introduction) to single-cell RNA-seq today and making use of slides that others might find useful:

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  5. proslijedio/la je Tweet
    22. sij

    The Bioinformatics Resource Center is hosting a workshop on the analysis of single-cell RNA-Seq data (no command line experience is required.) Register here

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  6. proslijedio/la je Tweet
    24. pro 2019.

    A thread about a landmark reproducibility and usability achievement by for his paper "Highly multiplexed single-cell RNA-seq by DNA oligonucleotide tagging of cellular proteins." The reproducibility repository is here: . 1/19

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  7. 14. pro 2019.

    At LAX waiting for my flight that was supposed to leave at 10:50am when I heard an announcement that it is delayed to "approximately" 3 pm...

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  8. proslijedio/la je Tweet
    3. pro 2019.

    friends, don't miss this Thursday's seminar by of Bioworks. You will be inspired by what is possible with modern industrial synthetic biology. (Spalding Labs, 4pm).

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  9. 24. stu 2019.

    One thing I would like to see is being able to run system commands by prefixing it with an exclamation mark ("!"), just like how Python works in . Currently, we have to use the R `system` function to do that, which does not capture live output.

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  10. 24. stu 2019.

    This just shows how powerful (and useful) can be for scRNA-seq processing. Excited to see when R will be officially supported!

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  11. 24. stu 2019.

    Thanks to 's Monocle 3 notebook, ' R notebook for analysis of brain cells from an E18 mouse, and kallisto | bustools for fast pre-processing of single-cell RNA-seq, I've set up an end-to-end for Monocle 3:

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  12. proslijedio/la je Tweet
    22. stu 2019.

    Fixing our will be a huge pain, but still easier than fixing the read and metadata mess from some of the the published single-cell RNA-seq data we've recently downloaded from the SRA.

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  13. 10. stu 2019.

    Fast and simple RNA velocity on the cloud!

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  14. proslijedio/la je Tweet
    7. stu 2019.

    The notebook that just ran live at Run it by just clicking on the link and selecting "Run all" from the "Runtime" menu. A minute to set up a machine from scratch and 1 min. for the demo taking reads -> PCA.

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  15. proslijedio/la je Tweet
    7. stu 2019.

    Amazingly fast compared to CellRanger. This is awesome. I've been trying this with my scRNA data since yesterday and it took only a few hours to process 100,000 cells (of 8 biological batches)! Also authors constantly update this nearly on a daily basis. SUPER COOL

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  16. 5. stu 2019.
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  17. proslijedio/la je Tweet
    4. stu 2019.

    FYI if you are working with single-cell RNA-seq data and you’re in Boston, will be talking today at 4pm in the Yosemite room on + a number of exciting developments since the preprint was posted. cc organizer .

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