Why Subscribe?✅ Curated by Tommy Tang, a Director of Bioinformatics with 100K+ followers across LinkedIn, X, and YouTube✅ No fluff—just deep insights and working code examples✅ Trusted by grad students, postdocs, and biotech professionals✅ 100% free
Hello Bioinformatics lovers, Holidays are here! I hope you get some rest and recharge during the break! How can one become a great bioinformatician? I know many of you are beginners. If you want to know how to start, please read this blog post: My opinionated selection of books/urls for bioinformatics/data science curriculum. In summary, you need to learn Unix commands and R/python languages. Those are the basic skills you need to have first. But let's suppose you already know the basics, what's next? I find that reproducing figures from a paper helps (I have said it many times!). Download a dataset from GEO and start reproducing a figure from a publication! Take this publication as an example https://pmc.ncbi.nlm.nih.gov/articles/PMC6186417/ Can you reproduce this figure? (the data is at https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE66083) If you are interested, I can create an end-to-end tutorial for it. Let me know! Some final thoughts:
Happy Learning! Tommy aka, crazyhottommy PS. I created a video on creating upset plot to visualize gene sets. check it out here. PPS: If you want to learn Bioinformatics, there are ways that I can help:
Stay awesome! |
Why Subscribe?✅ Curated by Tommy Tang, a Director of Bioinformatics with 100K+ followers across LinkedIn, X, and YouTube✅ No fluff—just deep insights and working code examples✅ Trusted by grad students, postdocs, and biotech professionals✅ 100% free