Workflows for the bioprospecting of metagenomic sequencing data

Metagenomics has changed the way we interrogate the microbial diversity present in the world. By systematically analysing this data, we can identify novel microbial features that would otherwise be inaccessible or too time-consuming to identify through conventional genomics techniques. This process is known as bioprospecting.

In this talk, I will describe two workflows that we have developed to process and analyse sequencing data available in an open-database, along with preliminary results. The first workflow is dedicated to identifying putative coding sequences, and the second workflow facilitates the analysis of these coding sequences. The use of the workflow in two case studies will be discussed: the bioprospecting of novel type A1 lantibiotics, and the bioprospecting of novel cytochrome P450s.