I'm fascinated by the idea that genetics is digital. A gene is a long sequence of coded letters, like computer information. Modern biology is becoming very much a branch of information technology.
Ageing is very exciting. But if I didn't work on ageing, I'd want to work on the brain. There are really cool techniques you can use now. And bioinformatics. The methods you can use for comparing large data sets - that's so powerful.
DNA is ROM. It can be read millions of times over, but only written to once - when it is first assembled the birth of the cell in which it resides.
Data-intensive graph problems abound in the Life Science drug discovery and development process.
What we need is an electronic encyclopedia of life, with one page for each species. On each page is given everything known about that species.
Life histories tell you just about everything you need to know about an animal.
Too few people in computer science are aware of some of the informational challenges in biology and their implications for the world. We can store an incredible amount of data very cheaply.
The human genome contains so much data that, it has been calculated, it would fill 43 volumes of Webster's International Dictionary.
There is enough information capacity in a single human cell to store the Encyclopedia Britannica, all 30 volumes of it, three or four times over.
