Applied bioinformatics – why and how?
Hello everyone, welcome to another blog exploring my choice of module!
Those who have read my last blog on Practical Project B will know that I took Applied Bioinformatics as a module for block D of my third semester. In this blog, I want to explain why you should take this module and give some tips if you take this module.
So when I took this module it had already gone through some changes so the first few weeks were slow but after that I enjoyed my time in the module. First of all, this module will allow you to explore bash and linux a bit – it’s different from any other options you get (usually python or R). But more than the language itself, when you explore the Unix system in general, you gain a better understanding of directory structures – something that wasn’t offered in the early years of programming-related modules. And this understanding has helped fill many gaps in my programming approach so far.
In addition to that, you also have the option to explore DNA and RNA mapping. I enjoyed this like every time I read an article that talked about it earlier; there was some degree of confusion regarding the methods and results section – because I was unaware of the workflows that went into the process of such analysis. But during the module, I understood a lot of things, like why we need a PCA to check if the data points are reliable. Therefore, this module is beneficial and will inform you about many tools that could be useful to you during your career in life sciences. And if I have convinced you to take this module, here are some tips that you might find useful:
- Attend each workshop and ask questions. (for example, can we replace this logic here with a loop?) This improves your logical approach to programming.
- Record all command lines with a breakdown of what each bit means. This will help you with courses and other bodies or settings after the module.
- Stay on top of ratings. This module has no exams, and so lessons are everything. So plan well and submit your submissions on time!
And finally, have fun with mapping and analysis! Good luck !