University of Cambridge > Talks.cam > Cambridge Philosophical Society > Decoding human genomes on a population scale: solexa/illumina sequencing

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Decoding human genomes on a population scale: solexa/illumina sequencing

Download to your calendar using vCal

If you have a question about this talk, please contact Beverley Larner .

Note new start time of 6.00pm

Abstract: One copy of the human genome comprises a code made up of an arrangement of just over three billion units of the DNA bases (or ’”letters”) G, C, A and T. The Human Genome Project took many years and thousands of instruments to decode the first human genome at a cost of several hundred million dollars. A human genome can now be decoded on a single instrument in one day for a few thousand dollars.

In this lecture Professor Shankar Balasubramanian will discuss the history of DNA sequencing and a method for rapidly decoding the genomes that originated in Cambridge in the 1990s. Professor Balasubramanian will also consider the impact of rapid genome sequencing on the life sciences, medicine and society.

This talk is part of the Cambridge Philosophical Society series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Average on weekdays: 9192.39105058 kWh LR6, Department of Engineering University of Cambridge Trumpington Street Cambridge CB2 1PZ Engineering Department Geotechnical Research Seminars

Other talks

Washing machines and their rare components: lessons from kidney patients Computation of free boundary minimal surfaces via extremal Steklov eigenvalues What Can Be Computed in Infinite-Dimensional Spectral Problems? Rothschild Public Lecture | Forty years of causal inference: Report of a great-grandfather Machine Politics? Computers and AI in the History of Political Thought Online Causal Inference Seminar
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity