Being a good bioinformatician

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Or more accurately,  how to avoid being a bad bioinformatician. Over at the blog opiniomics (which is my new favorite name for a blog beside Nothing in Biology), Mick Watson published a lovely post: 5 ways that you may be failing as a bioinformatician.

While the premise behind this post sounds fairly negative (why not 5 practices of productive bioinformaticians?) it is extremely informative. Especially for budding bioinformaticians such as myself.

Essentially it breaks down into:

  • Keep up with the literature
  • Use appropriate software
  • Document your procedures
  • Stop reinvent the wheel

I am definitely guilty of the last bullet, and my better bioinformatics peers get on me about it all the time (“You don’t need to write your own code to collapse a 2d array into a vector/write a sorting algorithm/pick a variable without replacement. Someone has already done that.”). Which ones are you guilty of?

Well worth a read, check it out here!

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