Displaying posts tagged with

“proteins”

Automated Function Prediction: Submit your abstracts by Saturday

You have until Friday Saturday, April 20th to submit your abstracts to the Automated Function Prediction meeting, an ISMB 2013 Special Interest Group and CAFA: Critical Assessment of Function Annotations. Keynote speakers: Patricia Babbitt, University of California, San Francisco. Protein similarity networks: Identification of functional trends from the context of sequence similarity Alex Bateman, European Bioinformatics […]

Repost: a very loose and circular association to Pi Day

(Originally published March 14, 2009) Happy Pi (π) Day! Americans write dates in the MM/DD/YYYY format instead of the DD/MM/YYYY format used by the rest of the world.  Usually a rather painful and confusing format if you did not grow up with it, causing checks to bounce and leases to expire for those who recently […]

Fold.it: wasting time in a good cause

I just spent the better part of a Saturday playing with Foldit. Foldit is an ongoing experiment in finding protein structures by harnessing the power of the mob – or gamers, as is the case here. The player is presented with a backbone & sidechain configuration, with the secondary structures mostly pre-determined. The problem is […]

Glowing like a horse

Dennis Mitchell: “Margaret, you are all sweaty” Margaret Wade: “Dennis, girls don’t sweat. Horses sweat, boys perspire and girls glow” Dennis Mitchell: “Margaret, you are glowing like a horse”.                               — Dennis the Menace / Hank Ketcham Horses and humans sweat but most other mammals do not. Sweating lowers the body’s surface temperature by evaporating […]

On Molecular Viewers, or why I voted for RasMol

Beware the temptation to use the 45 and 120 degree angle pink and yellow light source, in combination with shiny plastic B-splines, which would make your protein model look like brothel decor

Now this looks a lot better!

In any data-rich science, data visualization is of prime importance.  Finding ways to visually depict data is challenging, as we have opposing demands: we would like to see the data in the whole, but also be able to zoom in and analyze the details; we would like to know how the many details add up […]