Genomics Quotes

Trying to read our DNA is like trying to understand software code - with only 90% of the code riddled with errors. It's very difficult in that case to understand and predict what that software code is going to do.

Our work on C. elegans emphasized the benefits of sharing large amounts of information. We took a global approach to discover the mechanisms that led to the development of the worm.

My prime interests are in evolution and development. I use the cellular slime molds as a tool to seek an understanding of those twin disciplines.

I've always been interested in science - one of my favourite books is James Watson's 'Molecular Biology of the Gene.'

When I was 16, my dad took me to a DNA conference at the Exploratorium science museum in San Francisco, California, and I was captivated by this way of looking at biology and by the discussions of bits of nucleic acid that could make us sick.

By developing deep learning solutions that are faster, easier, and less expensive to use, Nervana is democratizing deep learning and fueling advances in medical diagnostics, image and speech recognition, genomics, agriculture, finance, and eventually across all industries.

It has become part of the accepted wisdom to say that the twentieth century was the century of physics and the twenty-first century will be the century of biology.

Our understanding of how DNA informs our health and development is advancing at an incredible pace.

What's been gratifying is to live long enough to see molecular biology and evolutionary biology growing toward each other and uniting in research efforts.

America is home to a vast, dynamic life-science industry.

I would only once have the opportunity to let my scientific career encompass a path from the double helix to the three billion steps of the human genome.

Genomics are about individuals. It's about what's specific to you, not your siblings, not your parents - each of us is totally unique. We will only see that uniqueness by drilling down to the genetic code.

I never dreamed that in my lifetime my own genome would be sequenced.

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

My lab used to do gene expression and genomics, and we did a lot of sequencing samples from virus outbreaks.

The moment I saw the model and heard about the complementing base pairs I realized that it was the key to understanding all the problems in biology we had found intractable - it was the birth of molecular biology.

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.

In an age of molecular genomics, it is ever more apparent that the fingerprints of evolution are pressed deeply into human DNA, just as they are into the genomes of every other organism. Biologists understand this, and so do students who study the science of life.

I think I've achieved some good things; doing the first genome in history - my team on that was phenomenal and all the things they pulled together; writing the first genome with a synthetic cell; my teams at the Venter Institute, Human Longevity, and before that Celera.

Biology is the most powerful technology ever created. DNA is software, protein are hardware, cells are factories.

In chemicals, Synthetic Genomics is one of my real loves.

But while doing that I'd been following a variety of fields in science and technology, including the work in molecular biology, genetic engineering, and so forth.

We'll be investing in basic science research with the goal of curing disease.

We can get much better outcomes from people if we understand the genetic basis of the exact cancer that they have, what interventions might be most effective against it, what's worked in the past and what hasn't.

A DNA sequence for the genome of bacteriophage ΦX174 of approximately 5,375 nucleotides has been determined using the rapid and simple 'plus and minus' method. The sequence identifies many of the features responsible for the production of the proteins of the nine known genes of the organism, including initiation and termination sites for the proteins and RNAs. Two pairs of genes are coded by the same region of DNA using different reading frames.