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Genomic Ancestry Analysis in Wild Hybrid House Mice Genomic Ancestry Analysis in Wild Hybrid House Mice

Genomic Ancestry Analysis in Wild Hybrid House Mice - PowerPoint Presentation

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Genomic Ancestry Analysis in Wild Hybrid House Mice - PPT Presentation

Megan Frayer PhD Student Laboratory of Genetics UWMadison HTCondor Week 2022 Genetics of Speciation Genetics of Speciation Genetics of Speciation Genetics of Speciation Genetics of Speciation ID: 999118

set test create 1inference test set 1inference create input hours testing 1parameter 1set speciation 2parameter improve research simulation dags

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1. Genomic Ancestry Analysis in Wild Hybrid House MiceMegan FrayerPh.D. Student, Laboratory of GeneticsUW-MadisonHTCondor Week 2022

2. Genetics of Speciation

3. Genetics of Speciation

4. Genetics of Speciation

5. Genetics of Speciation

6. Genetics of Speciation

7. Genetics of Speciation

8. The house mouse hybrid zone can tell us about how speciation is proceeding between these subspecies M. m. domesticusM. m. musculus

9. The house mouse hybrid zone can tell us about how speciation is proceeding between these subspecies M. m. domesticusM. m. musculus

10. The house mouse hybrid zone can tell us about how speciation is proceeding between these subspecies M. m. domesticusM. m. musculus

11. The house mouse hybrid zone can tell us about how speciation is proceeding between these subspecies M. m. domesticusM. m. musculus

12. The house mouse hybrid zone can tell us about how speciation is proceeding between these subspecies M. m. domesticusM. m. musculus

13. The house mouse hybrid zone can tell us about how speciation is proceeding between these subspecies M. m. domesticusM. m. musculus

14. ATCGTCAGTCAGTCGATCGATACGTAGCATGCAGTACGATGCAGTACGATGATACGTAGCAGTCAGACACGTAGCTATGCATCGTACGTCATGCTACGTCATGCTACTATGC

15. ATCGTCAGTCAGTCGATCGATACGTAGCATGCAGTACGATGCAGTACGATGATACGTAGCAGTCAGACACGTAGCTATGCATCGTACGTCATGCTACGTCATGCTACTATGC

16. ATCGTCAGTCAGTCGATCGATACGTAGCATGCAGTACGATGCAGTACGATGATACGTAGCAGTCAGACACGTAGCTATGCATCGTACGTCATGCTACGTCATGCTACTATGC

17. DOMHETMUS Centromere Telomere 

18. Parameter grid search

19. Parameter grid searchWhat is the combination of input parameters with the highest likelihood?

20. Parameter grid searchParameter Values to be testeddefaultRate 0.80.860.991.15      timeSince Admixture 10003750650092501200014750    ancestryProp1 0.40.50.6       ancestralRate1 410006925097500       ancestralRate2 140002365033290208153515849500    mutation1 1E-041E-051E-061E-071E-08     mutation2 3.4E-053.4E-063.4E-073.4E-083.4E-095.1E-055.1E-065.1E-075.1E-085.1E-09miscopyRate 0.010.0011E-041E-051E-06     Miscopy Mutation 0.010.0011E-041E-051E-06     

21. Parameter grid searchParameter Values to be testeddefaultRate 0.80.860.991.15      timeSince Admixture 10003750650092501200014750    ancestryProp1 0.40.50.6       ancestralRate1 410006925097500       ancestralRate2 140002365033290208153515849500    mutation1 1E-041E-051E-061E-071E-08     mutation2 3.4E-053.4E-063.4E-073.4E-083.4E-095.1E-055.1E-065.1E-075.1E-085.1E-09miscopyRate 0.010.0011E-041E-051E-06     Miscopy Mutation 0.010.0011E-041E-051E-06     108,000 combinations of parameters to be tested

22. Parameter grid searchParameter Values to be testeddefaultRate 0.80.860.991.15      timeSince Admixture 10003750650092501200014750    ancestryProp1 0.40.50.6       ancestralRate1 410006925097500       ancestralRate2 140002365033290208153515849500    mutation1 1E-041E-051E-061E-071E-08     mutation2 3.4E-053.4E-063.4E-073.4E-083.4E-095.1E-055.1E-065.1E-075.1E-085.1E-09miscopyRate 0.010.0011E-041E-051E-06     Miscopy Mutation 0.010.0011E-041E-051E-06     108,000 combinations of parameters to be tested

23. Parameter grid search

24. Parameter grid search

25. Create Input Filesparameter_test.dag

26. Create Input Filesparameter_test.dagExamples of files to print: Submit filesExecutablesInput for programs being runScripts that will need to be run

27. Create Input FilesParameter Test 1parameter_test.dag

28. Create Input FilesParameter Test 1Parameter Test 2parameter_test.dag

29. Create Input FilesParameter Test 1Parameter Test 2Parameter Test 3parameter_test.dag

30. Create Input FilesParameter Test 1Parameter Test 2Parameter Test 3Parameter Test nparameter_test.dag

31. Create Input FilesParameter Test 1Parameter Test 2Parameter Test 3Parameter Test nCompile results/create summariesparameter_test.dag

32. Create Input FilesParameter Test 1Parameter Test 2Parameter Test 3Parameter Test nCompile results/create summariesparameter_test.dagSUBDAG_EXTERNAL

33. Create Input FilesParameter Test 1Parameter Test 2Parameter Test 3Parameter Test nCompile results/create summariesparameter_test.dagSUBDAG_EXTERNALBefore HTC: 2 hours/test 24.6 years/108,000 testsWith HTC: 2 hours/test 10 days/108,000 tests24.6 years  10 days

34. Testing with Simulated Chromosomes

35. Testing with Simulated ChromosomesHow well is the program performing?

36. Testing with Simulated Chromosomes

37. Testing with Simulated Chromosomes

38. Create Input FilesSet 1Set 2Set 3Set nCompile results/create summariesinference_testing.dagSet 1Inference Test Set 1Set 1Inference Test Set 2Set 1Inference Test Set 3Set 1Inference Test Set nParameter Set 1Parameter Set 2Parameter Set nParameter SetsParameter Set 3

39. Create Input Filesinference_testing.dagParameter Set 1

40. Create Input FilesInference Test Set 1inference_testing.dagParameter Set 1

41. Create Input FilesInference Test Set 1inference_testing.dagParameter Set 1Inference Test Set 1

42. Create Input FilesInference Test Set 1inference_testing.dagParameter Set 1Set 1Inference Test Set 1

43. Create Input FilesSet 1Set 2inference_testing.dagSet 1Inference Test Set 1Set 1Inference Test Set 2Parameter Set 1Parameter Set 2

44. Create Input FilesSet 1Set 2Set 3inference_testing.dagSet 1Inference Test Set 1Set 1Inference Test Set 2Set 1Inference Test Set 3Parameter Set 1Parameter Set 2Parameter Set 3

45. Create Input FilesSet 1Set 2Set 3Set ninference_testing.dagSet 1Inference Test Set 1Set 1Inference Test Set 2Set 1Inference Test Set 3Set 1Inference Test Set nParameter Set 1Parameter Set 2Parameter Set nParameter SetsParameter Set 3

46. Create Input FilesSet 1Set 2Set 3Set nCompile results/create summariesinference_testing.dagSet 1Inference Test Set 1Set 1Inference Test Set 2Set 1Inference Test Set 3Set 1Inference Test Set nParameter Set 1Parameter Set 2Parameter Set nParameter SetsParameter Set 3

47. Create Input FilesSet 1Set 2Set 3Set nCompile results/create summariesinference_testing.dagSet 1Inference Test Set 1Set 1Inference Test Set 2Set 1Inference Test Set 3Set 1Inference Test Set nParameter Set 1Parameter Set 2Parameter Set nParameter SetsParameter Set 3Before HTC: 3 hours/test 6.25 days/50 testsWith HTC: 3 hours/test 10 hours/50 tests6.25 days  10 hours

48. Simulations

49. Simulations

50. simulation.dagReplicate 1Replicate 2Replicate 3Replicate n Simulation.configDAGMAN_MAX_JOBS_IDLE = 1000VariablesTemplate Submit Files

51. simulation.dagReplicate 1Replicate 2Replicate 3Replicate n Simulation.configDAGMAN_MAX_JOBS_IDLE = 1000VariablesTemplate Submit Files

52. simulation.dagReplicate 1Replicate 2Replicate 3Replicate n Simulation.configDAGMAN_MAX_JOBS_IDLE = 1000VariablesTemplate Submit Files

53. simulation.dagReplicate 1Replicate 2Replicate 3Replicate n Simulation.configDAGMAN_MAX_JOBS_IDLE = 1000VariablesTemplate Submit Files

54. simulation.dagReplicate 1Replicate 2Replicate 3Replicate n Simulation.configDAGMAN_MAX_JOBS_IDLE = 1000VariablesTemplate Submit FilesBefore HTC: 2 hours/test 2.7 years/12,000 testsWith HTC: 2 hours/test 30 hours/ 12,000 tests 2.7 years  30 hours

55. simulation.dagReplicate 1Replicate 2Replicate 3Replicate n Simulation.configDAGMAN_MAX_JOBS_IDLE = 1000VariablesTemplate Submit FilesBefore HTC: 2 hours/test 2.7 years/12,000 testsWith HTC: 2 hours/test 30 hours/ 12,000 tests 2.7 years  30 hours

56. ConclusionHTC can improve research in biological sciences Even simple DAGs can make a big impact on your research DAGs can also improve reproducibility like automated pipelines

57. ConclusionHTC can improve research in biological sciences Even simple DAGs can make a big impact on your research DAGs can also improve reproducibility like automated pipelines

58. ConclusionHTC can improve research in biological sciences Even simple DAGs can make a big impact on your research DAGs can also improve reproducibility like automated pipelines

59. ConclusionHTC can improve research in biological sciences Even simple DAGs can make a big impact on your research DAGs can also improve reproducibility

60. ConclusionHTC can improve research in biological sciences Even simple DAGs can make a big impact on your research DAGs can also improve reproducibilityIn the last year, I have used 8.5 million HTC hours.

61. ConclusionHTC can improve research in biological sciences Even simple DAGs can make a big impact on your research DAGs can also improve reproducibilityHTC has shortened my Ph.D. by almost 1,000 years.