It's difficult to say. From sample size to sequencing, binning, quality control, assembly, annotation and statistical analyses which is very elaborate and cumbersome and include phylogenetic and functional gen determination, alpha and beta gene diversity and lots of protocols. It takes quite a while.
It takes infinite time to analyze and interpret shotgun metagenomics data.
It's difficult to say. From sample size to sequencing, binning, quality control, assembly, annotation and statistical analyses which is very elaborate and cumbersome and include phylogenetic and functional gen determination, alpha and beta gene diversity and lots of protocols. It takes quite a while.
As Maurice says it is difficult to say and it depends on:
- Your expertise and infrastracture. If you already have a pipeline ready to be used (and you know how to use it) and a powerful computing cluster or workstationa it will be technically quick. If you don't know what to do and need to read literature, learn stuff, install programs and maybe if you're using a simple desktop computer it will take longer.
- What you're searching for: the more experimental and innovative your work is, the more you'll need to analyze the data. Just searching for known bacteria species it's easier than (for examples) assembling new genomes for undiscovered species.
For "standard" applications you can find ready-to-use bioinformatic tools.
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