Hello Bioinformatics lovers,

The other day, I saw Josh Starmer's post:

Josh had a great answer: Do something that nobody/fewer people are doing.

What comes to my mind is: a strong foundation in statistics.

Yeah, everybody is talking about AI,

but for Bioinformatics, conventional statistics is still more widely used in our daily work.

For example, in addition to learning the most recent advancement of AI,

I am re-reading this stats book: Data Analysis for the Life Sciences.

I get to refresh my memory of the central limit theory,

a deep understanding of p-value, confidence interval,

t-test, permutation test, association test, etc.

It is the fourth time for me to review the book/course content.

I always learn something new, or something just clicked this time.

because I have grown,

I have more experience, and

I've leveled up.

So, focus on the things that fewer people are doing.

Instead of chasing the trend, lay a solid foundation in basics: e.g., statistics and linear algebra.

What's something you think you should learn to succeed? Reply.

Other posts you may find helpful

1. ​Understand genomics files ​
2. 🧵 If you’re doing bioinformatics by hand, you’re burning time you’ll never get back​
3. ​(Harvard STAT115): Introduction to Bioinformatics and Computational Biology by Shirley Liu.
4. pretty interesting tool: Oxbow makes genomic data ready for high-performance analytics.
5. ​Free course: Intro to Computational Biology by Mike Love, author of DESeq2.
6. 🧵 Bioinformatics Tip: Why Wet Biologists Should Involve Bioinformaticians Early.
7. ​Applied Computational Genomics Course at UU: Spring 2024
8. The difference between chaos and clarity in computational biology is one habit: How you name your files/folders 🧵
9. A tidy dataframe removes the friction. ​
10. Ever see a stunning bioinformatics figure and think: “How on earth did they make that?” Let’s break it down so you can recreate it.

Happy Learning!

Tommy aka crazyhottommy

PS:

If you want to learn Bioinformatics, there are other ways that I can help:

1. My free YouTube Chatomics channel, make sure you subscribe to it.
2. I have many resources collected on my github here.
3. I have been writing blog posts for over 10 years https://divingintogeneticsandgenomics.com/​

Stay awesome!