Bioconductor Workshop 1: R/Bioconductor Workshop for Genomic Data Analysis

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  • เผยแพร่เมื่อ 4 ก.พ. 2025

ความคิดเห็น • 15

  • @Rachel-ge3gl
    @Rachel-ge3gl 6 ปีที่แล้ว +4

    Fantastic workshop! Thank you for posting it =)

  • @hengzhao308
    @hengzhao308 3 ปีที่แล้ว

    Such a great tutorial!!!

  • @DanceVidaSweden
    @DanceVidaSweden 6 ปีที่แล้ว +2

    Super! more more videos!👌 🤩

  • @stretch8390
    @stretch8390 2 ปีที่แล้ว

    I wish the presenter elaborated on why they, 'think it has paid off', instead of just stating their opinion without justification (15:57).

  • @jayasuriyajm3029
    @jayasuriyajm3029 2 ปีที่แล้ว

    where can I find the notebook file?

    • @ChrisNorulak
      @ChrisNorulak ปีที่แล้ว

      If you search "brown university bioconductor introduction" it will be the first link

  • @janardhankadari3286
    @janardhankadari3286 2 ปีที่แล้ว

    Awesome

  • @km2052
    @km2052 5 ปีที่แล้ว +1

    thx

  • @royalmonuxyz7932
    @royalmonuxyz7932 3 ปีที่แล้ว +1

    ʀᴏyᴀʟ ᴍᴏɴᴜ

  • @petrosstyle2981
    @petrosstyle2981 4 ปีที่แล้ว +3

    Bioconductor is the worst package ever, I wonder who takes this garbage seriously

    • @swingdancelab
      @swingdancelab 3 ปีที่แล้ว +1

      why do you think that?

    • @thryce82
      @thryce82 3 ปีที่แล้ว +1

      its by far the most popular genomics package out there. it still sux a bit especially because of package versioning. but for free it generally does the job if you have the patience

    • @shirasoni9583
      @shirasoni9583 3 ปีที่แล้ว +2

      then wtf do YOU use

    • @sapitron
      @sapitron 3 ปีที่แล้ว +1

      Please can you say something that doesn't hurt my feelings?

    • @stretch8390
      @stretch8390 2 ปีที่แล้ว +2

      @@swingdancelab Most likely for the code bloat that S4 results in and that R is a poor base for the bioconductor concept would be my guess. I regularly crash R on my pc with 32gb of ram when I'm working with larger summarizedexperiments; the bioconductor concept with R as the foundation really doesn't scale well. It's unfortunate as there are so many packages already written in it that it's not really possible to 'turn back' and start again with a more suitable foundation so we're just stuck with it.