Author: mattions

Bioinformatics… getting the (people) data

So it seems that Bioinformatic Zen has launched another interesting idea:

Why we don’t get the data about all the bioinformaticians around ad see what they are doing, to have at least a snapshot of what’s going on in the bioinformatics field?

So, to do that, a survey has been developed. The data gathering has started the 1st of July and it will be on up to the 1st of August. The data will be analyzed by all the people that want to do it and the result are going to be made available on the (proposed date) 1st of September.

For your convenience also YANNB will post the result.
Fill it if you have 5 mins :).

Impianto Pilota Geotermia terza generazione

C’è uno studio di fattibilità per un impianto di terza generazione sul blog di Beppe Caravita.

Long story short: Si può generare 1 MWe di potenza sfruttando il calore della terra. L’energia sarebbe di tipo continuo, con nessun tipo di scorie, rinnovabile, tecnicamente infinita, e con bassissimo impatto ambientale. Per quanto riguarda i costi, utlizzando i materiali utilizzabili oggi si spenderebbe quanto una centrale ad impianto solare.

Spero che si capisca (e presto) le potenzialità di questo tipo di energia e vi si investa in maniera seria ed adeguata.

Eppur funziona…

Sto alla OCNC2008 ed il mio computer si connette ad ogni tipo di bloody network. Il Vista qui a fianco arranca. Son soddisfazioni…

Poi venitemi a dire che Linux non funziona… e su … 😛

Ah si, tra l’altro MatLab qui và e di là arranca….

Cold fusion. It just works.

Arata Phenomena: this is the name given by the scientists to the reaction of cold fusion obtained by Arata in Japan just few hours ago.

The deuterium (isotope of the hydrogen with one neutron) was pumped into a reactor where there was a cathode formed by 35% of palladium, and 65% of zirconium.

The reaction started to produce energy activating a thermic engine. After one hour and half the experiment was stopped to measure the amount of Helium-4 produced, sign of the reaction.

That’s a really good news

Sole24 Ore (italian site)

More info here
Scientific publication here. More info also here
via Beppe Caravita

Il nucleare e Scajola. Ed una manciata di domande

Scajola ha annunciato che vuole fare le centrali nucleari . Ha detto in 5 anni.

Un pò di domande:

  1. Dove le costruisce?
  2. Come le costruisce in 5 anni se a tutti servono 20 anni?
  3. Che tipo di centrali costruisce ?
  4. Quante ne costruisce?
  5. Dove le mette le scorie?
  6. Chi paga per le centrali?
  7. Perchè decide di buttarsi su una cosa del genere e spenderci valanghe di soldi e non metterli in progetti più interessanti, come la geotermia avanzata o l’eolico off-shore o il solare termodinamico e creare insieme ricerca, innovazione ed energia?

Scajola, rispondi!

Adding modeling in the wet lab

Modeling in biology is a kind of Cinderella branch of the field. Is not central as it is in physics and there is a lot of skepticism about it, especially from the wet lab guys. Biology has started as a descriptive subject and then it went to the quantitative approach.

Quantity. That’s exactly what you need if you want to do some modeling, that at the end of the day is crunching some numbers using a computer.

Let me just make a comparison with the engineering field. This guys usually:

  • think about an idea
  • model it to test if it’s worth to build it and it will resist
  • build it in the reality

If for example you’re building an house, you hit a button and the program is going to make all the calculation to see if the house is safe and it will last, or it will just collapse under its own weight. Actually you’re testing your idea, modeling it on a virtual space.

In biology you have the same kind of approach:

  • think about a question
  • design the experiment to try to answer the question
  • do the experiment

The modeling should be one point of the design part to let you know if your experiment would discover something or not, so you can save time and know on which parameter focus your attention or which proteins seem to be the important key role. It should help the biologist to design better experiment.

For example you have a cascade signaling involving something like 15 proteins. If you have a tool that is going to predict that the most interesting reaction over there involve protein 2 and protein 3 you can focus your attention over there, avoiding the scan of all the other proteins in the first place.

To do that we need of course a really rock-solid modeling framework and from the other hand a really easy and fast way to use it.

We are quite far from there, but it looks to me like an intriguing prospective.