There was an interesting opinion piece in Nature News yesterday on Bioinformatics career tracks, i.e. how the people that do the analysis work often go unrewarded as they are not first/last author on the high impact life science papers.
It does make it seem like all bioinformatics work is just processing data that are being generated by people in a lab, which I'm not sure I entirely agree with.
However there are some things that I can relate too, such as the amount of work that goes into a 'standard bioinformatics analysis'. Every time it seems like this experiment has a different setup or a different goal, requiring you to make an entirely new pipeline. I think I can count on one hand the amount of times that I've been able to completely reuse the same pipeline for two analyses.
Definitely worth a read:
http://www.nature.com/news/core-service ... ns-1.17251
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