Sunday, December 19, 2010

Game


 New Online Game that Drives Genetic Research | Scicasts - Science and Technology Trade News Network 

Monday, December 13, 2010

Research Experiences for Teachers (RET) in Engineering and Computer Science (nsf11509)

Research Experiences for Teachers (RET) in Engineering and Computer Science (nsf11509)

Wednesday, August 04, 2010

Monday, June 14, 2010

A Decade Later, Human Genome Project Yields Few New Cures - NYTimes.com

A Decade Later, Human Genome Project Yields Few New Cures - NYTimes.com

Who would have thought that sifting through thousands of 3-billion character strings from each human for statistically significant variations related to a wide range of various diseases would have been difficult! We've come a long way in suggesting some mutations that are related to disease. I think that it is wonderful to be able to inform people that they may have certain genetic propensities to various ailments in their future. I think it's good to have your head up and be aware of these possibilities down the road, particular for some cancers that are so difficult to catch early in its onset.

Its one thing to be able to detect known mutations. That's simple. It's substantially more difficult to be able to detect new mutations yet discovered. And, it is infinitely more difficult to figure out how to use the genome to solve these ailments! This is a great field to be in. There are so many opportunities ahead to do some great things.

Finally, on a related note, I want to see the data inflow STOP, and give us data miners a chance to try and understand the enormous amount of data we already have. Just my opinion.


Sunday, May 09, 2010

Going from where to why--interpretable prediction of protein subcellular localization -- Briesemeister et al. 26 (9): 1232 -- Bioinformatics

Going from where to why--interpretable prediction of protein subcellular localization -- Briesemeister et al. 26 (9): 1232 -- Bioinformatics

Abstract | Predicting conserved protein motifs with Sub-HMMs

Abstract | Predicting conserved protein motifs with Sub-HMMs

At NIH? You’ve got tutorials! | The OpenHelix Blog

At NIH? You’ve got tutorials! | The OpenHelix Blog

Genome Biology | Full text | Bioconductor: open software development for computational biology and bioinformatics

Genome Biology | Full text | Bioconductor: open software development for computational biology and bioinformatics

Genome Biology | Full text | Searching for SNPs with cloud computing

Genome Biology | Full text | Searching for SNPs with cloud computing

Genome Biology | Full text | The case for cloud computing in genome informatics

Genome Biology | Full text | The case for cloud computing in genome informatics

Wednesday, April 07, 2010