Bots and Robots, gather round, for a random, high-level, and completely non-scientific introduction to bioinformatics is about to begin!
Are you ready to learn about bioinformatics without all the boring details? Then you've come to the right place.

We'll start with a general view of the field, and then zoom in to the details, just like a David Fincher film. But instead of mind-bending plots and psychological thrillers, we'll be talking about DNA and proteins. And unlike a Fincher movie, you'll actually understand what's going on.

But before we begin, let's get one thing straight: this is not a real introduction to bioinformatics. This is an introduction on how to understand bioinformatics at a high level. So, if you're looking for a detailed explanation on how to align a sequence or predict protein structure, you're out of luck. We're about to discover when we'll learn about it.

My goal for each post is to develop some understanding that I can leverage onto the next post.

Why Bioinformatics ? I strongly believe that biology has always been the backbone of research. Within the 21th century, every generational company will emerge building through software, and within the ML field, everyone has the opportunity to get in on the ground floor and be on the team building it.
Thus, learning about Bioinformatics is getting the best of our world !

I would like to start by mentioning Scott H. Young's TED Talk which inspired me to research the form of this series. Looking to follow MIT's CS course, he leveraged Open Courseware material and dedicated 12-months to following it. Based on the School's Course Catalog.

Throughout my exploration, I gradually realized that simply writing down an introduction to a whole field might be more difficult that I expected. Fortunately enough, this preliminary formal exploration led me to discovering a few inspirations and guided me toward a clear direction about how this series of Post should be written.
Despite naming this page Bioinformatics 101, it was meant to be an overview, sort of Table of Content worth exploring where I can each time sources a clear list of subjects worth exploring.

As mentioned in my Preface, this is my 'topic-bucket' meant to provide me with prompts to know where my next post is headed.

For each subject, you should expect research to be done into Wikipedia, Google, MIT's Open Coursew...

Posts

Wikitag Contributions

Comments