Computational Biology Quotes

Eventually we'll be able to sequence the human genome and replicate how nature did intelligence in a carbon-based system.

The major thing is to view biology as an information science.

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.

It's sort of nice in more general terms to see that computational science, computational biology is being recognized. It's become a very large field, and it's always in some ways been the poor sister, or the ugly sister, to experimental biology.

Data-intensive graph problems abound in the Life Science drug discovery and development process.

The idea would be in my mind - and I know it sounds strange - is that the most important advances in medicine would be made not by new knowledge in molecular biology, because that's exceeding what we can even use. It'll be made by mathematicians, physicists, computer scientists, figuring out a way to get all that information together.

There are three great themes in science in the twentieth century : the atom, the computer, and the gene.

If you want to compete in bioinformatics, first you need to compete for really smart people. You need really smart people who understand how to manipulate nanomolecules.

We went from a world where almost nobody knew anything about computers to a world where almost all of us are computer geeks for a huge fraction of our day. And I'd like to see that happen with the digital world of biological molecules, too.

Biology has tended to be an observational science, and deriving things from first principles has not been possible in the past, but I hate to predict the future on that.

I love that the work that we do is so vital to science. We're in a lot of ways at the scientific front line. The work that we're doing to build up the computational defense system for infectious diseases, whether it's finding the vaccine as fast as possible this time or next time to detect early outbreaks.

In genomics, there's a massive amount of information in which you can look for patterns and develop insights.

The convergence of information technology and biology allows scientists to translate the human genome into digital data that can accelerate diagnoses and cures.

I firmly believe that the next great breakthrough in bioscience could come from a 15-year-old who downloads the human genome in Egypt.

This work made me more and more interested in biological matter, and I decided that I really wanted to work on the X-ray analysis of biological molecules.

I did a PhD in molecular bio-physics.

Biology is now accelerating at a pace faster than Moore's Law.

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 next major explosion is going to be when genetics and computers come together.

The machine code of the genes is uncannily computer-like. Apart from differences in jargon, the pages of a molecular biology journal might be interchanged with those of a computer engineering journal.