Past Meetup

Art of Science: Comparative Genomics, Visualization and Big Displays

Hosted by Chicago Science Field Trips

Public group

This Meetup is past

22 people went

Location image of event venue


In this monthly series, scientists present different scientific topics to the general public in a laid back atmosphere at an art gallery. The June 2016 event:
Comparative Genomics, Visualization and Big Displays
Presented by Jillian Aurisano
University of Illinois at Chicago
(full abstract below)
The presentation will be 8-9 pm

Free event!

Exciting science, art and socializing!
Donation bar!
Delicious vegan desserts to buy!

This event is in conjunction with Woman Made Gallery's CODE/SWITCH + CODE/MIX & Quest exhibitions.
These exhibitions showcase the creativity and artistic merits within the gaming and tech industry.

Woman Made Gallery is at 685 N. Milwaukee Ave., south of the intersection with Chicago Ave. and the Chicago Ave. blue line stop. Easily accessible as well by the Milwaukee Ave. (#56) and Chicago Ave. (#66) buses.
Some street parking is available.

We hope you will join us!
All are invited. Invite friends.

Facebook event page

Facebook group

Comparative Genomics, Visualization and Big Displays

The volume of complete genome sequence data available to comparative genomics researchers is rapidly increasing. However, visualizations in comparative genomics — which aim to enable analysis tasks across collections of genomes — have largely not kept pace and often suffer from visual scalability issues.

Jillian Aurisano will describe in this presentation her work with bacterial genomics researchers to develop new approaches to visualizing neighborhoods around genes of interest in hundreds of complete bacterial genome sequences. The application she developed aims to be both visually scalable for large collections of genome sequences and to take advantage of large, high-resolution display environments, like tiled-display walls.

In her discussion of this work, she will address the challenges of bringing a visual perspective to big data problems in science and the new opportunities presented by advanced graphics environments for data visualization in science.