9. Modeling and Discovery of Sequence Motifs

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  • เผยแพร่เมื่อ 4 ธ.ค. 2024

ความคิดเห็น • 8

  • @tempvariable
    @tempvariable 5 ปีที่แล้ว +9

    I'm just making a list for myself it may be incomplete
    12:21 Exmples of protein motifs
    19:29 Ways to describe a motif
    33:00 Motif finding problem
    37:38 Gibbs sampling

  • @wimthiels638
    @wimthiels638 8 ปีที่แล้ว +1

    thanks. remark at the end regarding the shifted motifs is indeed important. without it it's hard to understand the reasoning behind bias toward G after the first iteration. (so it will also be biased towards A, but those biases are resolved to G through the shifted motif heuristic)

  • @sfmambero
    @sfmambero 4 ปีที่แล้ว +3

    2:55 lecture begins

  • @hughxiao7078
    @hughxiao7078 4 ปีที่แล้ว

    Which category does this algorithm suite, HOMER, fall under? Enumerative, Probabilistic or Deterministic? Or maybe a collection of them all, like the WebMotifs mentioned at 1:15:14. homer.ucsd.edu/homer/introduction/basics.html

  • @aref6561
    @aref6561 7 ปีที่แล้ว +1

    now how to do it in R or Python etc? Anyone knows?

  • @jackc7069
    @jackc7069 8 ปีที่แล้ว

    I'm having a bit of trouble running the code for question 1 on problem set 2 (fm-search.py). It doesn't output anything onto out.txt. Can anybody help?

  • @shy9926
    @shy9926 5 ปีที่แล้ว

    24:45

  • @MrTian1212
    @MrTian1212 8 ปีที่แล้ว +1

    The guy, first row, left, is eating chinses?????