CV Lattes
ORCID
Abstract
We propose to develop a computational pipeline that will allow us to carry out a global diversity survey of bacterial genera of interest, using metagenomics datasets. We have pre-selected four genera: Xanthomonas, Acinetobacter, Moraxella, Stutzerimonas, and Stenotrophomonas. The criteria for this selection were primarily their occurrence in the MetaSUB dataset and interest on the part of…