Difference between revisions of "February 4, 2016"

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== Classwork ==   
 
== Classwork ==   
Consider how signaling cascades often involve a G-protein, receptor, and ligand. The Burmese Pythons do not always feed, so it is likely that the transcripts for these genes are not always present. Therefore, we are looking for a ''''''transcription factor activator''''' because these genes likely turn on a multitude of other genes.  
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Consider how signaling cascades often involve a G-protein, receptor, and ligand. The Burmese Pythons do not always feed, so it is likely that the transcripts for these genes are not always present. Therefore, we are looking for a '''''transcription factor activator''''' because these genes likely turn on a multitude of other genes.  
  
 +
'''''Moving forward, we need to:''''' 
 +
*Validate our 12 samples and compare them to one another. 
 +
*Identify a housekeeping gene in the Small Intestine mucosa. 
 +
*Determine a grouping on the dedrogram and set a threshold. 
 +
*Identify genes that will distinguish fed-state from fasted-state. 
  
  
What do we want out of our research and how do we get there?  
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=== Questions to Consider: ===  
What do we need to do with each of our twelve data sets?   
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*When working with large data sets, how do we separate out what is statistically and biologically interesting?   
-more notes in lab notebook
 
  
  
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== Correlation Activity == 
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*R<sup>2</sup> value indicates how well the trend line explains the correlation of data. R<sup>2</sup> is the square of the correlation coefficient. 
 +
*Slope indicates if data is positively or negatively related, or if there is no correlation. 
 +
*We can practice correlating gene expression across gene samples. 
 +
 +
'''''We need to understand "who" the outlier is in our research.'''''
  
  

Revision as of 17:36, 13 February 2016

Classwork

Consider how signaling cascades often involve a G-protein, receptor, and ligand. The Burmese Pythons do not always feed, so it is likely that the transcripts for these genes are not always present. Therefore, we are looking for a transcription factor activator because these genes likely turn on a multitude of other genes.

Moving forward, we need to:

  • Validate our 12 samples and compare them to one another.
  • Identify a housekeeping gene in the Small Intestine mucosa.
  • Determine a grouping on the dedrogram and set a threshold.
  • Identify genes that will distinguish fed-state from fasted-state.


Questions to Consider:

  • When working with large data sets, how do we separate out what is statistically and biologically interesting?


Correlation Activity

  • R2 value indicates how well the trend line explains the correlation of data. R2 is the square of the correlation coefficient.
  • Slope indicates if data is positively or negatively related, or if there is no correlation.
  • We can practice correlating gene expression across gene samples.

We need to understand "who" the outlier is in our research.



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