Difference between revisions of "Gleis Week 8"

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(Lab Journal)
Line 24: Line 24:
 
===Lab Journal===
 
===Lab Journal===
 
1. Visited https://xmlpipedb.cs.lmu.edu/biodb/fall2013/index.php/Week_82 for procedural instructions  
 
1. Visited https://xmlpipedb.cs.lmu.edu/biodb/fall2013/index.php/Week_82 for procedural instructions  
 +
 
2. Opened this link: [http://www.openwetware.org/wiki/BIOL398-01/S10:Sample_Microarray_Analysis_Vibrio_cholerae Sample Microarray Analysis for ''Vibrio cholerae'' page] and downloaded data from Merrel et al. Host-induced epidemic spread of the cholera bacterium (2002)
 
2. Opened this link: [http://www.openwetware.org/wiki/BIOL398-01/S10:Sample_Microarray_Analysis_Vibrio_cholerae Sample Microarray Analysis for ''Vibrio cholerae'' page] and downloaded data from Merrel et al. Host-induced epidemic spread of the cholera bacterium (2002)
 +
 
3.Copied and selected all data in the file and pasted into a new Excel spreadsheet titled "Normalized".
 
3.Copied and selected all data in the file and pasted into a new Excel spreadsheet titled "Normalized".
 +
 
4. Inserted two new rows just under the top title row.  The first row was labeled "Average" and the second row was labeled "STDEV".
 
4. Inserted two new rows just under the top title row.  The first row was labeled "Average" and the second row was labeled "STDEV".
 +
 
5. The average and standard deviations were calculated for each column
 
5. The average and standard deviations were calculated for each column
 +
 
6. The data was then normalized by subtracting the average from a particular cell and dividing that sum by the standard deviation.
 
6. The data was then normalized by subtracting the average from a particular cell and dividing that sum by the standard deviation.
 +
 
7. The data was copied and pasted-values only- into a new Excel sheet titled "statistics"
 
7. The data was copied and pasted-values only- into a new Excel sheet titled "statistics"
 +
 
8. The averages of the technical replicates of each biological sample were calculated in the next three Columns
 
8. The averages of the technical replicates of each biological sample were calculated in the next three Columns
 +
 
9. One column contained the average values of each gene for patient A, then Patient B, and finally patient C
 
9. One column contained the average values of each gene for patient A, then Patient B, and finally patient C
 +
 
10. In the next column the average values of A,B, and C were average to find a total average for each gene
 
10. In the next column the average values of A,B, and C were average to find a total average for each gene
 +
 
11. Next a column was used to calculate if the average log ratio differed significantly from 0 using the equation  
 
11. Next a column was used to calculate if the average log ratio differed significantly from 0 using the equation  
 
  =AVERAGE(N2:P2)/(STDEV(N2:P2)/SQRT(number of replicates))
 
  =AVERAGE(N2:P2)/(STDEV(N2:P2)/SQRT(number of replicates))

Revision as of 05:41, 11 October 2013

Contents

Vibrio cholerae Statistical Analysis

Uploaded Files

File:ForGenMapp Gleis 10-10.txt

File:ForGenMapp Gleis 10-10.xls

Sanity Check

P<0.05 - 137

p<0.01 - 26

p<0.001 - 2

p<0.0001 - 0

p<0.05 and fold change>0 - 43

p<0.05 and fold change<0 - 94

p<0.05 and fold change>0.25 - 41

p<0.05 and fold change<-.025 - 93

Lab Journal

1. Visited https://xmlpipedb.cs.lmu.edu/biodb/fall2013/index.php/Week_82 for procedural instructions

2. Opened this link: Sample Microarray Analysis for Vibrio cholerae page and downloaded data from Merrel et al. Host-induced epidemic spread of the cholera bacterium (2002)

3.Copied and selected all data in the file and pasted into a new Excel spreadsheet titled "Normalized".

4. Inserted two new rows just under the top title row. The first row was labeled "Average" and the second row was labeled "STDEV".

5. The average and standard deviations were calculated for each column

6. The data was then normalized by subtracting the average from a particular cell and dividing that sum by the standard deviation.

7. The data was copied and pasted-values only- into a new Excel sheet titled "statistics"

8. The averages of the technical replicates of each biological sample were calculated in the next three Columns

9. One column contained the average values of each gene for patient A, then Patient B, and finally patient C

10. In the next column the average values of A,B, and C were average to find a total average for each gene

11. Next a column was used to calculate if the average log ratio differed significantly from 0 using the equation

=AVERAGE(N2:P2)/(STDEV(N2:P2)/SQRT(number of replicates))

12. Next a p-value was calculated for each gene using the equation

=TDIST(ABS(R2),degrees of freedom,2)

13. The data were then formatted to be accepted by GenMAPP.

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