RESEARCH
Bioinformatics and Data Integration
Recent advances in science and technology are leading to a revision and re-orientation of methodologies, addressing old and current issues from a new perspective. Advances in next-generation sequencing (NGS) are allowing comparative analysis of the abundance and diversity of whole microbial communities, generating a large amount of data and findings at a systems level. The current limitation for biologists has been the increasing demand for computational power and training required for processing NGS data.
I am working on the development of new Bioinformatics tools and designing new scientific workflows to integrate multi-omics data (For example, integrating metagenomics and metatranscriptomics datasets).
One Health Relationships between Human, Animal, and Environmental Microbiomes
The One Health concept is a global strategy to study the relationship between human and animal health and the transfer of pathogenic and non-pathogenic species between these systems. In the clinical context, metagenomics is also a powerful weapon in the fight against antibiotic resistance pathogens in humans and animals.
Currently, I have further to look at the role of antibiotic-resistance genes in microbial communities of several ecosystems, which included host-associated and soil microbiomes in a One Health context.
![Reconstruction of ~ 3,000 microbial genomes from a large-scale sampling of animals using One Health concept. (Lemos et al. 2022 - [Lemos et al. 2022 - Scientific Data] doi: 10.1038/s41597-022-01465-5)](https://821e51e4d6.clvaw-cdnwnd.com/c36e7c882a1e71544a4cc23eba115a4d/200000012-600cd600cf/OneHealth.png?ph=821e51e4d6)
Genome-Resolved Metagenomics
Despite all efforts to access microbial diversity, most soil microbes are still unknown and we are far from understanding several microbe-mediated processes in soil. The development and application of novel computational strategies have successfully allowed us to reconstruct complete or near-complete genomes of rare and/or uncultured bacteria.
I am working on the application of computational methods to reconstruct microbial genomes metagenomics using several types of datasets (from low-diversity to high-complex environments).
![Lemos et al. (2021) Trends in Microbiology - [https://www.sciencedirect.com/science/article/pii/S0966842X21000159]](https://821e51e4d6.clvaw-cdnwnd.com/c36e7c882a1e71544a4cc23eba115a4d/200000030-4ff8b4ff8f/1-s2.0-S0966842X21000159-gr1.jpg?ph=821e51e4d6)
Collaborative Research
None of what I am doing would be possible without the collaboration and help of all people who composed the multidisciplinary teams that I have work during my scientific career.
