Difference between revisions of "Kevinmcgee Week 13"

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#Opened [[media:L.infantumCompliedRawData(A).txt]]
+
*Opened [[media:L.infantumCompliedRawData(A).txt | L.infantumCompliedRawData(A).txt]]
#Finished the formatting by flipping the dye swap chips negative
+
*Finished the formatting by flipping the dye swap chips negative
##Created a column next to dye swap chips and did the formula:  
+
*Created a column next to dye swap chips and did the formula:  
 
  =-1*(dye swap chip column)
 
  =-1*(dye swap chip column)
 +
*made a new sheet
 +
*added all data from old sheet except only added the flipped dye swaps
 +
*looked for background information in the array paper
 +
**L. infantum MHOM/MA/67/ITMAP-263 and L. major LV39 MRHO/SU/59/P strains used in this study
 +
**All microarray data will be freely available on the Geo NCBI database in the MIAME format
 +
***The series accession number for our manuscript is GSE10407.
 +
**Each chip compares promastigote vs. amastigote with different replicates
 +
**Following data files found
 +
[[File:LmjSampleInfo.PNG]]
 +
*Finished naming sheet with helpful names to know what is what on the sheet
 +
*Ready for statistical analysis
 +
*Began analysis by taking the average and standard deviation of our data chips seperately and using that information to scale and center our data:
 +
=(B4-B$2)/B$3 This shows the equation we used to scale and center.
 +
*Copied and pasted values of scaled centered onto a new page. From there, we edited out all VALUE! cells and left them blank. GenMAPP will ignore these blanks when we input our data.
 +
*Made a column of the average fold change for each gene call Avg_LogFC_All
 +
Average B2:G2
 +
*Made a column of the Tstat and Pvalue for the fold changes of each gene:
 +
=AVERAGE(B2:G2)/STDEV(B2:G2)/SQRT(6) TStat
 +
=TDIST(ABS(I2),5,2) Pvalue
 +
*Created a new page titled forGENMAPP
 +
**Copied and pasted all values from statistics page
 +
*Cut and pasted columns H-J and moved them to columns B-D
 +
*Inserted a new column at B called System Code. Filled in column with the letter N
 +
*File is now ready for GenMAPP import
 +
 +
 +
*Sample of what the final file looked like
 +
[[File:L.InfantumforGenMAPP.PNG]]

Latest revision as of 19:02, 21 November 2013

  • Opened L.infantumCompliedRawData(A).txt
  • Finished the formatting by flipping the dye swap chips negative
  • Created a column next to dye swap chips and did the formula:
=-1*(dye swap chip column)
  • made a new sheet
  • added all data from old sheet except only added the flipped dye swaps
  • looked for background information in the array paper
    • L. infantum MHOM/MA/67/ITMAP-263 and L. major LV39 MRHO/SU/59/P strains used in this study
    • All microarray data will be freely available on the Geo NCBI database in the MIAME format
      • The series accession number for our manuscript is GSE10407.
    • Each chip compares promastigote vs. amastigote with different replicates
    • Following data files found

LmjSampleInfo.PNG

  • Finished naming sheet with helpful names to know what is what on the sheet
  • Ready for statistical analysis
  • Began analysis by taking the average and standard deviation of our data chips seperately and using that information to scale and center our data:
=(B4-B$2)/B$3 This shows the equation we used to scale and center.
  • Copied and pasted values of scaled centered onto a new page. From there, we edited out all VALUE! cells and left them blank. GenMAPP will ignore these blanks when we input our data.
  • Made a column of the average fold change for each gene call Avg_LogFC_All
Average B2:G2
  • Made a column of the Tstat and Pvalue for the fold changes of each gene:
=AVERAGE(B2:G2)/STDEV(B2:G2)/SQRT(6) TStat
=TDIST(ABS(I2),5,2) Pvalue
  • Created a new page titled forGENMAPP
    • Copied and pasted all values from statistics page
  • Cut and pasted columns H-J and moved them to columns B-D
  • Inserted a new column at B called System Code. Filled in column with the letter N
  • File is now ready for GenMAPP import


  • Sample of what the final file looked like

L.InfantumforGenMAPP.PNG

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