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Showing Revision 6 created 04/12/2016 by Michael Wilson.

  1. I think the people
    who are going to cure cancer
  2. are going to be the people
    who have computational skills.
  3. If people have programming skills,
    they can jump on and be a part of this.
  4. And that's what we want,
    we want to get everyone involved.
  5. We really think that the solution
    to unlocking cancer
  6. is really going to be from all of us.
  7. ♪ (music) ♪
  8. (Eric Holland) The Fred Hutchinson
    Cancer Research Center
  9. is a research center in Seattle
    that specializes in understanding cancer,
  10. and coming up with new cures,
  11. and that we can use for patients
    with diseases that are incurable.
  12. (Lisa McFerrin) Our goal is to both
    research the cancer biology,
  13. but also treat patients,
  14. so we're part of a consortium
    that includes hospitals,
  15. but it also includes
    a large number of researchers.
  16. (Eric) Historically, when people
    were trying to decide
  17. what a cancer type was,
  18. they would look under a microscope,
  19. and because of the way things look,
    they would give it a name.
  20. But recently, we've had the ability
    to sequence huge amounts of DNA,
  21. and so, all of the sudden
  22. there's a whole lot more
    sort of digital data
  23. that completely describes a tumor
    in a much better way
  24. than simply the way of a microscope,
  25. but this is both a good thing
    and a bad thing.
  26. It poses a problem
    in that the amount of data
  27. for any given person is enormous.
  28. And all that information
    has to be compiled together
  29. in some giant database,
  30. and then manipulated and visualized,
  31. and so we were able
    to get a team together
  32. to attack this problem,
  33. and we've built some of these tools,
  34. that we're pretty happy with.
  35. (Desert Horse-Grant) Oncoscape
    is an open source web application
  36. where we take
    a cancer patient's information
  37. and we easily visualize it
  38. for doctors and scientists
    to understand
  39. what's going on
    in the patient's disease.
  40. The fields right now,
    there's cancer biologists,
  41. so the people who are studying cancer,
  42. and then there's the computational people,
  43. and so we wanted a tool
    that really could speak to both groups,
  44. and then at that same time
  45. just how can we make them work together.
  46. (Jenny Zhang) My work includes dry lab,
  47. computational side plus the wet lab,
  48. which means processing human tissues,
  49. so I work on both sides.
  50. So the tissue is freezed,
    I'll just put it on the dry ice,
  51. and then switch to my thermal glove.
  52. A lot of times we only look at data
    as a computer scientist,
  53. but you don't know
    how the data were generated.
  54. And I have this opportunity
    to look at the tissue,
  55. and when the data doesn't make sense,
  56. then you go back to the specimen.
  57. Every aspect matters
    to generate good quality data.
  58. There is a lot of advantages
    to be able to work on both sides.
  59. (Eric) Well, I've been
    in this field for 20 years.
  60. I've learned more about the disease
    that I'm particularly interested in,
  61. which is brain cancer,
  62. with simply this visualization tool
  63. to all I've learned
    over many of the previous years,
  64. because I'm not necessarily looking
  65. at only what the street light,
    you know, is illuminating.
  66. If you look at all of the DNA,
  67. you actually, it's like turning
    the lights on the entire room,
  68. you see everything,
    and you see it all at once,
  69. and you can see the things
    that you know exist,
  70. but then there's all this other stuff
    that you didn't even know to look for
  71. but it's sitting right in front of you.
  72. (Desert) So, we wanted Oncoscape
    to be open source,
  73. because our goal,
  74. and our goal from the beginning
    has really been about collaboration.
  75. This year we got this idea
    because someone contacted us
  76. whose father had lung cancer,
  77. but he really didn't have a way to help
    except for programming,
  78. and it really gave us this idea
  79. that coders out there
    could really help us.
  80. And so, we thought this would be
    a great thing to put on GitHub,
  81. and we felt like we could still
    give credit to people
  82. and use their name
    and really celebrate them
  83. for helping us in this fight
    against cancer.
  84. (Lisa) You don't have to be an expert
    in biology or computational biology.
  85. We want to allow people
    to be an expert in their own field,
  86. and so, we've created
    all these "help wanted" tasks
  87. on things that we're not experts at,
    that you might be an expert at,
  88. and we want our GitHub repository
  89. to be a place where people can come to
  90. and contribute their own knowledge,
  91. their own software
    and their own efforts.
  92. (Jenny) I know just by far
    how much I've been learning
  93. from the GitHub community.
  94. I've been checking
    a lot of the repositories
  95. just looking at how they code.
  96. We cannot work as competitors
    anymore in cancer research,
  97. because people die,
  98. so we really need to work together
    with different cancer centers,
  99. with different fields,
  100. with people all from different expertise.
  101. (Eric) It's a very exciting time
    if these tools can be really brought
  102. to the level that just any old person
    can do this, and you know,
  103. it really opens up science
    and cancer research to everybody,
  104. which is actually really exciting.
  105. (Desert) I don't know, I mean,
    cancer will be solved on a computer.
  106. We want people to join us
    in making a tool
  107. that really all of us can benefit from.
  108. ♪ (music) ♪