Advice on what bioinformatics skills to study/master in a PhD
For context, I am pursuing a PhD in Genomics in Europe (I'm originally Canadian), specifically in using genomic sequencing and downstream tools to diagnose genetic kidney disease patients who go undiagnosed in clinic.
The lab I joined is just breaking into the space (theyre more into wet lab/proteins) and the labs that are bioinformatics heavy here are mostly evolutionary.
In the past half year I've been in my PhD, I've started to realize that I will probably have to learn and explore things myself much more than some of fhe other candidates. I dont come from a computational background; for my MSc I just happened to update my labs variant analysis pipeline to the point where it was quite different (but useful!). Currently I've been looking at some short read sequencing data and I have a pipeline (using a mix of python and R) that annotates from VCF --> filters for rare variants --> uses some online databases to filter for genes that are specific to the patient phenotype.
I want to upgrade my skills. I'm starting to learn Nextflow, but I also want to learn how to analyze long read and RNAseq data (I'm supposed to get patients with RNA and lrGS data as soon as the research center is equipped to perform it, which may be a while). I don't want to just learn though as I only have 4 years, so I was wondering if there were databases I could mine to potentially come up with work related to my project (perhaps something like gene/variant discovery)?
I apologize for what may be simple/dumb questions; whenever I try to explain my ideas to my PI I can see their eyes glaze over, and most of the diagnostic employees here are busy with hammering down a workflow for the research center. If anyone has advice on where to look or even papers to read I'd be eternally grateful.