1. 광우병에서 구글까지

2. 전문가가 되어버리다

4. M/M
Methionine=Met , Valine = Val

5. 영국인 은
한국 사람은

6. gtg/atg

7. dbSNP

8. 단지 하나 차이일뿐인데

9. 단일염기 다형성
(SNP, Single Nucleotide
Polymorphism)

10. 23
99.9%

11. 44% 22% 19%
56%
1%

12. 30

13. 인간 유전체 연구

17. ...

19. 점점 커져가는데

21. 생물학 데이터에 대해서

28. 유전체 연구

29. GeneBank
Cluster SWISS-PROT
Super Computer
Hardware Database Biomedical text analysis
Information
Retrieval
Genomic Variation
Research Sequence alignment
Algorithm
Machine Learning
Classfication
Personalized
Clustering
Pattern recognition
Agent
Medicine
Information filtering
Monitoring agent
Personal Genome
IT

30. Machine Learning
Toby Segaran
Biotech software company

31. Sequence Search with MPI

32. GPU

33. (Taverna, Myexperiment)

34. (Folding@Home, Korea@Home)

35. - foldit

36. (FreeBase)

38. Multidimensional Scaling(MDS)
(CEU), (YRI), (JPT), (CHB)

43. KSNP(Korean SNP) Browser

45. Genome Browser with Google Maps API

46. BioBlogRSS:

47. !

48. 32 Node X86
18 Node IA2 Cluster
Cluster
NAS, DAS
Storage
Workstation
100 Node PPC
Cluster

49. 해결 해야 할 문제점

52. ...ATTAGGACCAATAAGTCT...
Person 1 +
...ATTAGGAGCAATAAGTCT...
...ATTAGGAGCAATAACTCT...
Person 2 -
...ATTAGGAGCAATAAGTCT...
0.5M SNP, cohort of 5K individuals, 10k random data set
Text
Single locus Pair of locii
(+,-) (+,-)
Cost = 0.5M x 5k x 10k Cost = 1/2 x 0.5M x 0.5M x 5k x 10k
1 day 120 yr
Computational problem

55. 구글과 생명 공학의 만남

56. Google Health BETA

57. SNP

59. ?

60. ?

62. 원하는것은

65. 4.*(#/,'(5
Hong ChangBum
Center for Genome Science
NIH, KCDC !quot;0*$1,.23quot;'
hongiiv@gmail.com
!quot;#quot;$%"'()*&$+,-.#/,'(
!quot;#$%&'()*!'+,-.#&
http://socmaster.homelinux.org/~hongiiv
/++0122quot;3#4-!'5*quot;#$%&'(-(*+