Difference between revisions of "Genomics for JS"
From Biolecture.org
imported>Jungsu Shin |
imported>Jungsu Shin |
||
| (One intermediate revision by the same user not shown) | |||
| Line 1: | Line 1: | ||
| + | <p>Genomics database by Mike</p> | ||
| + | |||
<p>SNPedia : (www.snpedia.com)</p> | <p>SNPedia : (www.snpedia.com)</p> | ||
| Line 18: | Line 20: | ||
<p> </p> | <p> </p> | ||
| − | <p>Research approches by presentation | + | <p>Research approches by presentation</p> |
<ul> | <ul> | ||
| Line 26: | Line 28: | ||
</ul> | </ul> | ||
| − | <p style="margin-left: 40px | + | <p style="margin-left:40px">-> family linkage study + genome wide association study = candidate gene association study (hypothesis -> target gene search, specific gene research possibly, but unpredictable gene reasearch impossibly)</p> |
| + | |||
| + | <p style="margin-left:40px">-> limitation : it is remained to examine functional implications and identify the casual gene, gene doesn't tell about everything.</p> | ||
| + | |||
| + | <p> </p> | ||
| + | |||
| + | <p>Genomics in the lecture</p> | ||
| + | |||
| + | <ul> | ||
| + | <li>Geno + Envriro = Pheno</li> | ||
| + | <li>Solution : exact data, principles, laws, algorithms, etc..</li> | ||
| + | <li>Typing : Sequencing -> Imaging</li> | ||
| + | <li>For example : High altitude adaptation, baleen whale -> hypothesis-driven</li> | ||
| + | <li> | ||
| + | <p> Expression -> gene product</p> | ||
| + | |||
| + | <p> RFAM : database</p> | ||
| + | |||
| + | <p> RNA species</p> | ||
| + | |||
| + | <p> How does RNA regulate exercise? What does RNA make regulation work?</p> | ||
| − | <p | + | <p>Horse genome (6) alternative splicing</p> |
| + | |||
| + | <p>RNA -> short preriod time (30 min) </p> | ||
| + | </li> | ||
| + | </ul> | ||
Latest revision as of 15:13, 3 June 2016
Genomics database by Mike
SNPedia : (www.snpedia.com)
For examples..
Promethease : (www,promethease.com)
For example..
Research approches by presentation
- hypothesis-driven : candidate gene studies
- data-driven (hypothesis-generating) : familiy linakge studies, genome wide association studies
- which one is better? nothing is better.
-> family linkage study + genome wide association study = candidate gene association study (hypothesis -> target gene search, specific gene research possibly, but unpredictable gene reasearch impossibly)
-> limitation : it is remained to examine functional implications and identify the casual gene, gene doesn't tell about everything.
Genomics in the lecture
- Geno + Envriro = Pheno
- Solution : exact data, principles, laws, algorithms, etc..
- Typing : Sequencing -> Imaging
- For example : High altitude adaptation, baleen whale -> hypothesis-driven
-
Expression -> gene product
RFAM : database
RNA species
How does RNA regulate exercise? What does RNA make regulation work?
Horse genome (6) alternative splicing
RNA -> short preriod time (30 min)
