BIOL398-04/S15:Jeffrey Crosson Week 14: Difference between revisions

From OpenWetWare
Jump to navigationJump to search
No edit summary
No edit summary
Line 1: Line 1:
[[Media:GRNmodel_JC.xlsx|Fixed B input sheet]]
[[Media:GRNmodel_JC.xlsx|Fixed B input sheet]]


Line 11: Line 13:
[[Media:weight_and_production_rate_comparison.xlsx|Workbook with weight and production rate comparisons]]
[[Media:weight_and_production_rate_comparison.xlsx|Workbook with weight and production rate comparisons]]


# Interpreting the results
#* Examine the graphs that were output by each of the runs.  Which genes in the model have the closest fit between the model data and actual data?  Why do you think that is?  How does this help you to interpret the microarray data?  <!--Which genes have the worst fit between the model and actual data?  Hint: how many inputs do these genes have?-->
#* Which genes showed the largest dynamics over the timecourse?  Which genes showed differences in dynamics between the wild type and the other strain your group is using?  Given the connections in your network (see the visualization in GRNsight), does this make sense?  Why or why not? <!--Dynamics means a log fold change that is different than zero at one or more timepoints. Which genes seem to have data (actual) that diverges between the wt and deletion strain?  Does the model adequately capture this?-->
#* Examine the bar charts comparing the weights and production rates between the two runs.  Were there any major differences between the two runs?  Why do you think that was?  Given the connections in your network (see the visualization in GRNsight), does this make sense?  Why or why not?


{{Template:Jeffrey Crosson}}
{{Template:Jeffrey Crosson}}

Revision as of 20:52, 4 May 2015


Fixed B input sheet

Estimated B input sheet

Fixed B output sheet

Estimated B output sheet

Presentation with all relevant figures

Workbook with weight and production rate comparisons

  1. Interpreting the results
    • Examine the graphs that were output by each of the runs. Which genes in the model have the closest fit between the model data and actual data? Why do you think that is? How does this help you to interpret the microarray data?
    • Which genes showed the largest dynamics over the timecourse? Which genes showed differences in dynamics between the wild type and the other strain your group is using? Given the connections in your network (see the visualization in GRNsight), does this make sense? Why or why not?
    • Examine the bar charts comparing the weights and production rates between the two runs. Were there any major differences between the two runs? Why do you think that was? Given the connections in your network (see the visualization in GRNsight), does this make sense? Why or why not?

Jeffrey Crosson

BIOL398-04/S15

  1. Week 1
  2. Week 2
  3. Week 3
  4. Week 4
  5. Week 5
  6. Week 6
  7. Week 7
  8. Week 8
  9. Week 9
  10. Week 10
  11. Week 11
  12. Week 12
  13. Week 13
  14. Week 14
  15. Week 15
Retrieved from "https://openwetware.org/mediawiki/index.php?title=BIOL398-04/S15:Jeffrey_Crosson_Week_14&oldid=883255"