Difference between revisions of "17.06.02"
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imported>Myeongji Park (Created page with "<p><strong>Lecture 4 - Transcriptomics</strong></p>") |
imported>Myeongji Park |
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<p><strong>Lecture 4 - Transcriptomics</strong></p> | <p><strong>Lecture 4 - Transcriptomics</strong></p> | ||
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| + | <p>* How can we distinguish 5' or 3' in UTR (untranslated region)?<br /> | ||
| + | - As using Markov chain model, we can predict 5' and 3' by focusing on their relationship.<br /> | ||
| + | - If we have reference, we can also predict 5' of UTR.</p> | ||
| + | |||
| + | <hr /> | ||
| + | <p>** What is Markov chain? **<br /> | ||
| + | - Markov chain refers to the sequence of random variables such a process moves through, with the Markov property defining serial dependence only between adjacent preiods.<br /> | ||
| + | - It can thus be used for describing systems that follow a chain of linked events, where <u>what happens next depends only on the current state of the system</u>.</p> | ||
| + | |||
| + | <hr /> | ||
| + | <p>* How can we distinguish whether it is UTR or not?</p> | ||
Revision as of 20:33, 5 June 2017
Lecture 4 - Transcriptomics
* How can we distinguish 5' or 3' in UTR (untranslated region)?
- As using Markov chain model, we can predict 5' and 3' by focusing on their relationship.
- If we have reference, we can also predict 5' of UTR.
** What is Markov chain? **
- Markov chain refers to the sequence of random variables such a process moves through, with the Markov property defining serial dependence only between adjacent preiods.
- It can thus be used for describing systems that follow a chain of linked events, where what happens next depends only on the current state of the system.
* How can we distinguish whether it is UTR or not?
