Hello everyone,
I’m really sorry to have to ask, as I don’t want to just offload my problems, but I’m currently stuck.
I’m writing my master’s thesis and wanted to prepare some data for it.
I’m actually writing a purely literature-based paper on the influence of tire abrasion on eukaryotic microbes. I’ve now found a dataset in the NCBI that uses metagenomics to collect data on precisely this topic and only evaluates prokaryotes. I have now started trying to evaluate the eukaryotic microbes. However, I have several problems:
1. I have doubts about my workflow and cannot find a suitable database in Kraken2 that delivers good results. My workflow so far has been to download and extract reads in FASTQ, fastp, FilterwithSortMeRNA, and Kraken2. I am unsure whether this is suitable for a statistical evaluation of diversity.
2. I have been looking for a better way, but I cannot find a tool that initially excludes all prokaryotes. This would reduce the amount of data. Or another tool that is well suited for eukaryotes.
3. I am unsure whether, for the scientifically correct evaluation of alpha and beta diversity using R, subsamples of equal size should be formed first.
I apologize for my novice questions, but I am only studying to become a teacher and am still unfamiliar with working with the tools and data.
EDIT: Or is it perhaps even possible to integrate a tool such as EukDetect?