In the late 1970s, when I was a professor at Caltech, I pioneered four instruments for analyzing genes and proteins that revolutionized modern biology - and one of these, the automated DNA sequencer, enabled the Human Genome Project.
What you need to learn how to do is analyze situations and do differential diagnoses and understand the principle and the concepts rather than learn all the details, and medical school doesn't begin to do that.
We don't argue if drug companies create drugs that can cure humans and charge lots of money for them, even though we all have these diseases. It will be pretty hard to make a different argument for genes.
Data-intensive graph problems abound in the Life Science drug discovery and development process.
We are evolutionary descendents of this marvellous panoply of life. And what that says unequivocally is we have an utter total obligation to make sure we have an environment that not only is good for us but is good for all living organisms.
Almost never does a single company have excellence in a multiplicity of disciplines.
If you know the mother's genome and the father's genome, and you see that the children have some genes that neither parent has, then you know that difference is either a mutation or a processing error.
Your genome sequence will become a vital part of your medical record, thereby providing critical information about how to optimize your wellness.
Breast cancer isn't one disease - it's probably four or five different types, and without knowing what type a person has, you can't optimize treatment for them.
The wellness and prevention market will outgrow the health care market.
An important finding is that by determining the genome sequences of an entire family, one can identify many DNA sequencing errors and thus greatly increase the accuracy of the data. This will ultimately help us understand the role of genetic variations in the diagnosis, treatment, and prevention of disease.
