Wouldn’t it have been really nice if there were an exclusive Digg.com for scientific literature or if Faculty of 1000 were free to access and open to all?

Well, the much needed service of the kind just described above has been launched in the avatar of Scientific Debate. It is a platform for post-publication discussing and rating of scientific papers. Anyone can post, rate and discuss about the scientific papers which have been published. This service is an important prototypic (or revolutionary, only time will tell) step towards a platform in science in which the importance of a work is not judged just by a handful of scientists on an editorial board of a conventional journal (or a citation service), but by many people across the world. I was waiting for such kind of service and now it has finally arrived. I thank the creators of ScientificDebate.com for bringing it on.

My best wishes for the ScientificDebate.com. I really hope the concept proves to be successful. Good Luck!

This article argues that the terms species, organism or the evolution itself might not be valid in the world of microbes.

Check out this interesting article. I wonder how much more is left in Nature’s kitty to discover. Now, they have discovered a bacterium living inside a mitochondria. Its wonderful to see that basic discovery has not been stopped yet.

Hi All,

In reference to our paper tittled “Evolved cellular automata for protein secondary structure prediction imitate the determinants for folding observed in nature“, we are happy to inform you that we have made the source code and dataset (which were used for doing research described in the paper) publically available. Please see here regarding the same.

The source code is in Python language and two datasets (namely: CB513 and RS126) are available on the site. Please feel free to use the source code to improve upon the method or for your own purposes.

Regards,
Paras Chopra and Andreas Bender

If you are a bioinformatist (or a computational biologist), you either would already be knowing this or would thank me for telling this — Nucliec Acids Research has come up with thier annual listing of molecular biology databases. This time they have close to 1000 different databases, all waiting to be mined. In my opinion, we have so much of biological data today that its really hard to focus on the right data to extract potentially useful information — every other database looks worthwhile to be mined and analyzed. Overwhelmed with this amount of data, its really difficult to focus on the right biological questions.

Click here to see the listing of molecular biology databases by the NAR.