The Biocomputing and Applied Genomics Laboratory (BAG) is a multidisciplinary research unit dedicated to addressing complex challenges in genomics, bioinformatics, and computational biology. Founded with the purpose of advancing both fundamental and applied research, BAG integrates innovative technologies and analytical approaches to contribute meaningfully to science, education, and societal development.
BAG operates under the umbrella of an institution committed to scientific excellence and the formation of critical, creative professionals capable of leading change across multiple sectors. The laboratory collaborates in a synergistic and cooperative manner with national and international research institutions, fostering impactful, interdisciplinary scientific discovery.
How we do research
Our research integrates cutting-edge tools from molecular biology, biotechnology, evolutionary genomics, and systems biology with high-throughput sequencing, computational modeling, and artificial intelligence. BAG’s mission is to enhance knowledge generation in the life sciences and support sustainable innovation in health, agriculture, aquaculture, and environmental stewardship.
The BAG team includes experienced researchers with strong national and international reputations, working across diverse areas such as environmental and medical microbiology, plant and animal genomics, human health, transcriptomics, metagenomics, and algorithm development for large-scale biological data analysis. Our research lines emphasize collaborative science, open data, and the development of tools and resources with wide applicability.
Capabilities
With support from competitive research funds and institutional investment, BAG has established advanced infrastructure for DNA/RNA sequencing, bioinformatics analysis, genome annotation, and molecular diagnostics. Our work has contributed to key advances in microbiome research, population genomics, biodiversity conservation, pathogen detection, and precision agriculture.
Through a growing number of publications, technology platforms, and academic partnerships, BAG seeks to position itself as a reference hub for genomic innovation and computational biology, both nationally and globally.