Category: English

TiddlyWiki mandatory plugins

So if you are using tiddlywiki you know everything, if you don’t you maybe want to take a look to it.

What is tiddlywiki good for?

For me is good as an advanced lab book. Yes an electronic labbook. All my biology friends have a really good fashion old school labbook, but I’m not too much into paper and I keep forgetting things.

More over is really a pain to search on the paper… I have different thoughts and ideas that are completely disconnected and only at the end they make sense (sometimes…)

So here the User Case:

  • Able to write any piece of text/idea quickly in a not complicated way
  • Able to tag it in a flexible way and give it an automatic datestamp
  • Able to have this tool always available.

If you recognize this, you want to give a try.

Now I want to suggest you two plugins (I started to write this post because the second one was really hard to find again, so I will put the right link here. I don’t think google is going to care too much about this blog, but anyway it could help a bit)

First of the latex plugin (if you don’t know what is LaTeX … well I’m sorry..)

The second one is the listTaggedTiddlers

Give it a go.. It’s really cool.

Bioinformatics survey is over

The bioinformatics survey proposed by Bioformatics zen during july is over.

survey

As expected the USA is the country with the numerous entries, but France in second place looks to me as a surprise.

As usual Italy is one of the last country for number of entries (but at least is there :))

Into macro regions the Europe is rocking!

macro regions

Have a look the other initial charts here.

More to come.

The constant itchy: proper LaTeX GNOME editor

I have a constant itchy that I cannot get rid off: I want a smart and cool LaTeX editor for GNOME.

I would like to have something light and with a bunch of functions that could make my life easier.

Right now I use winefish which is doing a great job.

Strengths of this software:

  1. Integration with LaTeX tool and possibility to run them with shortcuts keys
  2. Wizard to introduce figures. Really useful
  3. Shortcuts to introduce LaTeX sections, LaTeX style and other stuff. I really love it
  4. Group project management. When you write with LaTeX seriuos stuff you have chapters… and I want to hit one button and get my document compiled. (E.g.: Three docs open: master.tex, chp1.tex, chp2.tex. I hit F2 and the program call pdflatex with master.tex as argument depsite which is my open document (i.e. chp2.tex.) This is one of the feature that I like most.

One big problem:

  1. Spellchecking is broken (LaTeX filter doesn’t really work)

It seems the way to go is enchant.

Now, winefish is written in C and it’s not really my cup of tea…

What I saw is that there is this pyenchant and the interesting bit is here

It seems there is going to be a support for the LaTeX filter soon (hopefully). This means that if there is an editor that is able to implement the pyenchant API we (if you read ’till here is also your problem…) have resolved our problem about an editor with a correct spell checking in LaTeX mode.

So looking around I stumbled to this scribes.
logo scribes

It seems to be under big development (infinite development?) but it seems the version 0.4 will implement the pyenchant.

Now I see two possible solutions here:

  1. Fix winefish. This means:
  • Port somehow the enchant library to winefish. It’s in C. No, it doesn’t sound easy. Winefish is a fork of an old version of winefish. Now the development has stopped ‘casue the main developer didn’t have anymore the time.
  1. Fix scribes: This means:
  • Test the development version. Check the spellcheck works. Contact the guy who is working on pyenchant and speed up the filtering process for LaTeX filter.
  • Implement the snippet feature to insert custom text in the document (doable.. there is this possibility)
  • Implement at least a wizard for the figures.
  • Check out the project management

So you’re thinking that I should go for scribes. I don’t htink so, the autosave function will kill me and there is no undo function.

So maybe you said that I should look to GEDIT again and think about the LaTeX plugin… ‘Cause GEDIT will use or is going to use enchant. I’ve tried. I didn’t like it. I use GEDIT to open every txt file whatever is the content. So it should be light and quick. I said light and quick. The plugin is getting my GEDIT really slow. MKore over the spellchecker it’s not working.. So what we are talking about?

I would like to fix my first love winefish.

Or maybe stick to reality. Use winefish and run

aspell -t -c file_to_check.tex

or even use Texmaker

The spellchecker works really well, but I’m missing my powerfull shortkeys that I have in winefish.

Or maybe I should write another bloody editor in the right way (TM). (I won’t to reinvent the wheel for the n+1 time. It’s stupid and it’s not the way to do it.)

Suggestions?

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 :).

The clock that should deserve more attention

When latest GNOME went out with the marvelous clock-applet there was not too much hype about that. I think it was wrong. Check out the screen shoot 🙂
gnome clock applet

Isn’t that cool?

If you wondering what is the other stuff … well one is the failed tentative to run nest through ipython , the other is eclipse with a quick and dirty java program…

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

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.