The IEEE Spectrum presents this interactive chart, really nice. I remember when people asked me how to hack a computer or email, I never know, but I found more interesting hacking genomes than machines.
I like computer generated graphics, but if can be generated by real data and can improve some insight I say: WOW look this! Last day I saw Michael Ogawa's works about how some codes had an evolution, I think he is using the data captured in the CVS, parsed and input to create a really amazing animations. He worked with Eclipse, Python, PostgreSQL and Apache, which are good examples of open source projects with many releases and people coding. Eclipse required HD because the enormous data. The videos: Eclipse HD Python PostgreSQL Apache From: SlashDot
If you are in biosciences related work many times you have seen a fabulous but meaning-less image in the sci papers, typical error to represent data with wrong visuals perceptions, M. E. J. Newman named "Ridiculograms" (you can see the related video in Youtube). A ridiculogram can be defined as: Visual stunning Scientifically worthless Published in Nature or Science After a group discussion and a no so good seminar about text mining for disease terms, some agree that the last point can not be required, I want to extend this concept to other parts in bioinformatics. Many people are working in the user interaction part, novel technologies have large and heavy output and require some tools to show the results, but many of this tools are redundant (yes, many people want a desktop/web/network interfaces or some programs for Linux/Windows/Mac or versions in Java/C#/Python/Perl) and while the developers think "in the user experience", they forget the concept of the tool: ...
Es un gráfico bonito. La evaluación de "simple" con lo de lulz, pues no sé cuáles serían sus métodos para evaluarlo.
ReplyDeletePero sin duda laguna Stuxnet ha sido lo más malicioso que se ha hecho público sin duda alguna.
igual no se como generaron los datos, pero igual convendria poner graficamente el nivel de "Good/Bad" de cada acto
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