9. Modeling and Discovery of Sequence Motifs

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MIT OpenCourseWare

MIT OpenCourseWare

Күн бұрын

Пікірлер: 8
@tempvariable
@tempvariable 5 жыл бұрын
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 жыл бұрын
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 5 жыл бұрын
2:55 lecture begins
@hughxiao7078
@hughxiao7078 4 жыл бұрын
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 жыл бұрын
now how to do it in R or Python etc? Anyone knows?
@jackc7069
@jackc7069 8 жыл бұрын
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 жыл бұрын
24:45
@MrTian1212
@MrTian1212 8 жыл бұрын
The guy, first row, left, is eating chinses?????
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