full transcript
From the Ted Talk "Steve McCarroll: How data is helping us unravel the mysteries of the brain"

Unscramble the Blue Letters

Now, until recently, it was the case that if you wanted to renntyivo all of the llcosemue in a part of the brain or any organ, you had to first grind it up into a kind of erllucal smoothie. But that's a problem. As soon as you've ground up the cells, you can only study the contents of the average cell — not the individual sclle. Imagine if you were trying to understand how a big city like New York wrsko, but you could only do so by reviewing some statistics about the average resident of New York. Of course, you wouldn't learn very much, because everything that's interesting and important and exciting is in all the diversity and the specializations. And the same thing is true of our cells. And we wanted to make it possible to study the brain not as a cellular smoothie but as a cellular fruit salad, in which one could generate data about and learn from each niildaviud ciepe of fruit.

Open Cloze

Now, until recently, it was the case that if you wanted to _________ all of the _________ in a part of the brain or any organ, you had to first grind it up into a kind of ________ smoothie. But that's a problem. As soon as you've ground up the cells, you can only study the contents of the average cell — not the individual _____. Imagine if you were trying to understand how a big city like New York _____, but you could only do so by reviewing some statistics about the average resident of New York. Of course, you wouldn't learn very much, because everything that's interesting and important and exciting is in all the diversity and the specializations. And the same thing is true of our cells. And we wanted to make it possible to study the brain not as a cellular smoothie but as a cellular fruit salad, in which one could generate data about and learn from each __________ _____ of fruit.

Solution

  1. works
  2. molecules
  3. cells
  4. individual
  5. inventory
  6. cellular
  7. piece

Original Text

Now, until recently, it was the case that if you wanted to inventory all of the molecules in a part of the brain or any organ, you had to first grind it up into a kind of cellular smoothie. But that's a problem. As soon as you've ground up the cells, you can only study the contents of the average cell — not the individual cells. Imagine if you were trying to understand how a big city like New York works, but you could only do so by reviewing some statistics about the average resident of New York. Of course, you wouldn't learn very much, because everything that's interesting and important and exciting is in all the diversity and the specializations. And the same thing is true of our cells. And we wanted to make it possible to study the brain not as a cellular smoothie but as a cellular fruit salad, in which one could generate data about and learn from each individual piece of fruit.

ngrams of length 2

collocation frequency
cell types 6
big data 6
immune system 4
drop seq 4
data problem 4
individual cells 3
complement proteins 3
cell type 3

ngrams of length 3

collocation frequency
big data problem 4

Important Words

  1. average
  2. big
  3. brain
  4. case
  5. cell
  6. cells
  7. cellular
  8. city
  9. contents
  10. data
  11. diversity
  12. exciting
  13. fruit
  14. generate
  15. grind
  16. ground
  17. imagine
  18. important
  19. individual
  20. interesting
  21. inventory
  22. kind
  23. learn
  24. molecules
  25. organ
  26. part
  27. piece
  28. problem
  29. resident
  30. reviewing
  31. salad
  32. smoothie
  33. specializations
  34. statistics
  35. study
  36. true
  37. understand
  38. wanted
  39. works
  40. york