Metagenome sequencing analysis: development of a new computational workflow.

Microorganisms are the most widespread life form on our planet, they very much differ in size and characteristics and have a pivotal role in both our well-being and our planet's biodiversity, suffice it to say that there are between 500 and 100.000 different species of them solely in our body. Their relevance in almost any field cannot be stressed enough, making them central subjects of analysis and classification for various applications that encompass their use for a greener future. In this research field the Italian Microbial Resource Research Infrastructure (MIRRI-IT), a Joint Research Unit (JRU), stands out as a reference point; the project proposed in this thesis has been actualized thanks to the MIRRI Italian Research Infrastructure for Sustainable Bioscience and Bioeconomy (SUS-MIRRI.IT) initiative. Our main focus is to create a user-friendly service capable of taking in input metadata and bio-data, analyzing it, and returning the results. In order to achieve this result we create a workflow that can be divided into three major parts: pre-processing, in which we take the meta-data and create various graphs to give a first insight to the user, a core composed of a workflow written in CWL that takes the bio-data and, with the help of various bio tools, elaborates it and lastly the post process, who takes the output from the previous step and analyze it using metrics like alpha and beta diversity.