How not to be a good bioinformatician
by Alina Mierlus
Yesterday, I received from Toni an interesting document, exploring “How not to be a good bioinformatician”. After reading it, I thought that it could be useful not only for bioinformaticians, but also for various geeks and software makers: from hard programmers to web developers who build applications and software for the public at large.
Here there are the 10 “practices”:
0. Stay low level at every level;
1. Be open source without being open;
2. Make tools that make no sense to biologists;
3. Do not provide a graphical user interface: command line is always more effective;
4. Make sure the output of your application is unreadable, unparseable and does not comply to any known standards;
5. Be unreachable and isolated;
6. Never maintain your databases, web services or any information that you may provide at any time;
7. Blindly believe in the predictions given, P-values or statistics;
8. Do not ever share your results and do not reuse;
9. Make your algorithm or analysis method irreproducible;
You can find the detailed (and provisional) article here.