full transcript

From the Ted Talk by Barry Schuler: Genomics 101

Unscramble the Blue Letters


Well, now you ramp that up to four, and you have a lot of complexity, a lot of ways to describe mechanisms. So, let's talk about what that maens. So, if you look at a human gonmee, they consist of 3.2 billion of these base pairs. That's a lot. And they mix up in all different fnhaisos, and that makes you a human being. If you convert that to binary, just to give you a little bit of sizing, we're actually smaller than the program Microsoft Office. It's not really all that much data. I will also tell you we're at least as buggy. (Laughter)

This here is a bug in my genome that I have struggled with for a long, long time. When you get sick, it is a bug in your genome. In fact, many, many deaeisss we have struggled with for a long time, like cenacr, we haven't been able to cure because we just don't undnaestrd how it works at the gnmoeic level. We are starting to understand that.

Open Cloze


Well, now you ramp that up to four, and you have a lot of complexity, a lot of ways to describe mechanisms. So, let's talk about what that _____. So, if you look at a human ______, they consist of 3.2 billion of these base pairs. That's a lot. And they mix up in all different ________, and that makes you a human being. If you convert that to binary, just to give you a little bit of sizing, we're actually smaller than the program Microsoft Office. It's not really all that much data. I will also tell you we're at least as buggy. (Laughter)

This here is a bug in my genome that I have struggled with for a long, long time. When you get sick, it is a bug in your genome. In fact, many, many ________ we have struggled with for a long time, like ______, we haven't been able to cure because we just don't __________ how it works at the _______ level. We are starting to understand that.

Solution


  1. fashions
  2. genome
  3. cancer
  4. understand
  5. genomic
  6. means
  7. diseases

Original Text


Well, now you ramp that up to four, and you have a lot of complexity, a lot of ways to describe mechanisms. So, let's talk about what that means. So, if you look at a human genome, they consist of 3.2 billion of these base pairs. That's a lot. And they mix up in all different fashions, and that makes you a human being. If you convert that to binary, just to give you a little bit of sizing, we're actually smaller than the program Microsoft Office. It's not really all that much data. I will also tell you we're at least as buggy. (Laughter)

This here is a bug in my genome that I have struggled with for a long, long time. When you get sick, it is a bug in your genome. In fact, many, many diseases we have struggled with for a long time, like cancer, we haven't been able to cure because we just don't understand how it works at the genomic level. We are starting to understand that.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
base pairs 3
carbon dioxide 3
synthetic genome 3
pinot noir 3
sequenced pinot 2
craig venter 2
genetically modified 2
stay healthy 2


Important Words


  1. base
  2. billion
  3. binary
  4. bit
  5. bug
  6. buggy
  7. cancer
  8. complexity
  9. consist
  10. convert
  11. cure
  12. data
  13. describe
  14. diseases
  15. fact
  16. fashions
  17. genome
  18. genomic
  19. give
  20. human
  21. laughter
  22. level
  23. long
  24. lot
  25. means
  26. mechanisms
  27. microsoft
  28. mix
  29. office
  30. pairs
  31. program
  32. ramp
  33. sick
  34. sizing
  35. smaller
  36. starting
  37. struggled
  38. talk
  39. time
  40. understand
  41. ways
  42. works