Difference between revisions of "Electronic notebook: sinorhizobium meliloti"

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(Week 12)
(week 15)
Line 24: Line 24:
 
**T240- 5901
 
**T240- 5901
 
*Removed all of the #DIV/0! from the data that was transferred over to the GenMapp data
 
*Removed all of the #DIV/0! from the data that was transferred over to the GenMapp data
 +
*had to change names of the columns in order to correctly upload to GenMAPP
 +
**system code column was renamed
 +
**Gene ID column was renamed to ID
 +
*it appears that there is something wrong with the actual gene IDs that is not compatible with GenMAPP

Revision as of 17:46, 5 December 2013

Week 12

  • Read the paper on the salinity and sucrose stress on gene expression
  • Sorted the raw data into an XML file
  • started to compile the raw data

Week 13

  • I continued to sort the raw data and began to process the data in an xls file
  • this was a very repetitive part because it involved a lot of replications for each time set
  • finished my compiled raw data and processed raw data, as well as the data ready for GenMAPP
  • Made individual LOG fold change ratios for each time point replicate then averaged all of the LOG fold change ratios for each of the time points
  • preformed a Tstat test
  • Preformed a Pvalue test
  • added a row of N next to the gene ID name in the forGenMAPP tab
  • uploaded all the files to the wiki at the team page

week 15

  • I worked on some of the mistakes that I had made in my prior data sets
    • removed AVG_LOGFC_ALL row
    • added individual Pvalues and TSTAT for each individual replicate of the experiment instead of one Tstat and P value for the whole experiment
  • sanity check concluded the number of genes significantly changed at each time point
    • T15- 5520
    • T30- 7484
    • T60- 6711
    • T240- 5901
  • Removed all of the #DIV/0! from the data that was transferred over to the GenMapp data
  • had to change names of the columns in order to correctly upload to GenMAPP
    • system code column was renamed
    • Gene ID column was renamed to ID
  • it appears that there is something wrong with the actual gene IDs that is not compatible with GenMAPP
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