Georg Seelig
March 15, 2018
With new ‘shuffling’ trick, researchers can measure gene activity in single cells
Researchers at the University of Washington and the Allen Institute for Brain Science have developed a new method to classify and track the multitude of cells in a tissue sample. In a paper published March 15 in the journal Science, the team reports that this new approach — known as SPLiT-seq — reliably tracks gene activity in a tissue down to the level of single cells.
October 19, 2016
Popular Science picks DNA data storage project for 2016 ‘Best of What’s New’ Award
A technique to store and retrieve digital data in DNA developed by University of Washington and Microsoft researchers is one of the most innovative and game-changing technologies of the year, according to Popular Science’s 2016 “Best of What’s New” Awards.
April 7, 2016
UW team stores digital images in DNA — and retrieves them perfectly
University of Washington and Microsoft researchers have developed one of the first complete systems to store digital data in DNA — allowing one to store data that today would fill a Walmart supercenter in a space the size of a sugar cube.
October 22, 2015
New UW model helps zero in on harmful genetic mutations
By more accurately predicting how variations in DNA sequences affect gene splicing, a new UW model and publicly available Web tool can help narrow down which genetic mutations cause disease and which have little effect on a person’s health.
September 30, 2013
UW engineers invent programming language to build synthetic DNA
A team led by the University of Washington has developed a programming language for chemistry that it hopes will streamline efforts to design a network that can guide the behavior of chemical-reaction mixtures in the same way that embedded electronic controllers guide cars, robots and other devices.
July 28, 2013
Breakthrough in detecting DNA mutations could help treat tuberculosis, cancer
Researchers have developed a new method that can look at a specific segment of DNA and pinpoint a single mutation, which could help diagnose and treat diseases such as cancer and tuberculosis.
