*1.1. Metagenomics*

According to the National Center for Biotechnology Information (NCBI) [6], metagenomics is an area of bioinformatics that has evolved significantly in the last ten years, contributing on a large scale to microbiology. In the same manner, this relatively new "omic" science has made surprising discoveries in microbial taxonomy, revealing new capabilities and functionalities of di fferent biomes [7].

Metagenomics is analyzed through computation and bioinformatics, especially with the use of di fferent information discovery techniques. From this field, we try to discover patterns within this data to extract information that may be relevant for biologists, pharmacologists, chemists and/or bioinformaticians. This information contributes to the solution of di fferent pathologies related to microbial attacks.

New techniques have been developed to analyze large volumes of information from large amounts of metagenomic data, being big data and machine learning the most widely used [8]. These techniques use distributed computational environments of large capacity that allow more e fficient processing and reduce computing times in a significant way.
