By Austin Mkhwanazi
Coming into this year, bioinformatics was mostly a word I associated with big datasets and intimidating command lines. Months in, it’s become something I actually enjoy sitting down to learn, though I’m well aware I’m still very much in the middle of that process, not at the end of it.
The learning curve has been real. Getting comfortable with Linux and R felt like starting from zero some days, Googling basic commands, breaking scripts, fixing them, breaking them again. But somewhere in that repetition, it’s started to feel less like a foreign language and more like a set of tools I’m slowly getting a real handle on. There’s a specific satisfaction in finally getting something to run cleanly after days of errors, or realizing I can explain my own code instead of just hoping it works.
What I’ve enjoyed most is how bioinformatics rewards curiosity over memorization. Instead of cramming facts for an exam, I’ve had the space to chase down one concept at a time until it actually clicks, quality control, sequencing workflows, statistical analysis, each one building on the last, even when it didn’t make sense on the first pass.
It hasn’t all been smooth, and it’s not meant to be yet. Some concepts have taken several attempts to land, and there are still days I feel behind. But I’m learning that’s just what being partway through this looks like, nobody starts fluent, and there’s still plenty ahead I haven’t figured out.
So far, I’m proud of how much more capable I feel with these tools compared to where I started, even with a good stretch of the year still to go. Bioinformatics has gone from something I was nervous about to something I’m genuinely curious to keep learning.
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