Wet-lab vs. dry-lab
OK. My short programming excursion is over and I went back to do my wet-lab experiments. It is tough work (see text) and very different to computer science :) Mainly there are three main differences which I have in my mind:
1. You prepare your sample, and you need a lot of patience to process it, e.g. the slicing of my gel took me about 2 days, but destaining, digestion & drying will take even longer, probably 3 or 4 days for my 4 plates (2 parallel). Simple tasks in general, but you have to be very precise and one is not allowed to shiver or to be unfocused! On the other hand, my preparations and experiments are very short, compared to some other experiments which last for months … The incubation times are also not to neglect, so you have 2-3 hours of “free” time for paper reading; I haven’t written a program yet, which compiles for 3 hours though – smile!
2. What about if the experiment doesn’t work? This is actually a every day experience in the wet-lab. But you can’t start debugging your sample, well at least not in a way you do it with source code :) Not working programms or algorithms are still a pain, but after days hunting the bug, you’ll hopefully find it! Some experimentalists told me, they had experiments which weren’t working even after a year …
3. It is different in another way too: you prepared your sample, and after weeks you ruin it by doing the wrong thing or you accidentally hit something/someone with your samples in your hand – no way to think of it. The whole work probably would be for nothing. Therefore, all sorts of in-silico work is more “save”. You can’t screw up your sample by accident (unless you perform a $> rm -rf /* and/or don’t make backups). Imagine, after years of programming your fancy application, you wrote a class which doesn’t work (of course it has never happened before – smile) or you misconfigured your config files – but your previous work is not gone, you can simply fix it. Nice, isn’t it!
I feel more “save” in front of a computer, but I love my experience I currently gain and I also need it to understand the problems, once I have to analyse the data. All tasks in the lab seem to be easy – in theory – but practice is different. Good to know and good that even Bioinformaticians have to do at least one wet-lab rotation here during our PhD time!
Best regards!