This only shows how ignorant on bioinformatic analyses is whoever listed two items on the left. Without effort, I can say... git, bash, python, R-lang, alignment algorithms, UMAP, clustering algorithms, snakemake, nextflow, slurm, amazon web services, google cloud platform, conda, heuristics, more algorithms, deep learning, machine learning, imputing missing values, frequentist statistics, parametric or not, bayesian statistics, mmm.. Ok, point given.
In terms of lab equipment I can say that the right side list is about 1.5 labs' worth of tech
Where do I get a job in bioinformatics? Now that AI hype is on the way out (and I missed it) my best guess is that it will be the next big thing. And unlike LLMs it's actually interesting.
