Showing posts with label linkedin. Show all posts
Showing posts with label linkedin. Show all posts

Wednesday, 8 January 2014

My Formula as a Bioinformatician

Every day, I enjoy reading about bioinformatics in blogs, linkedin, and twitter; away from my daily reading of manuscripts journals. I strongly think that the future of publications/science will be closer & closer to the open access style and this emergent way to publish your ideas faster/brief in your own space. Some of my old co-workers don't understand this way to get in touch with science using informal environments rather than arbitrary/supervised spaces; I just said to them, we make the future, not the past. Reading the popular post “A guide for the lonely bioinformatician”, I was thinking about the last three years and how I have been built my own formula to survive as a lonely bioinformatician in a small country, with a lousy internet connection and without a bioinformatics environment.        

All the bioinformaticians that I met during these three years can be categorized in three major groups considering their original background:

1)    MDs, Biologist, Biochemist, Chemist
2)    Physicist, Mathematicians, Computer Scientist, Software Engineers, Software
       Developers
3)    Philosophers, *

As an embryonic and growing field the diversity is huge, then it is quite complex to express all the data behavior in one model or a formula. Here I will summarize some of the variables of my formula, extremely correlated with the original post suggestions: