30 years of history, innovation, and transformation!
For three decades, the Graduate Program in Biotechnology and Biosciences at UFSC has been training researchers, driving scientific discoveries, and contributing to the advancement of biotechnology in Brazil and around the world.
This marks 30 years of dedication to science, the training of qualified human resources, and the generation of knowledge that impacts society. It is a journey built by faculty members, staff, students, alumni, and partners who have been—and continue to be—part of this story.
We invite the entire academic community, alumni, and friends of PPGBTC to celebrate this very special milestone with us!
August 5, 2026 — 2:00 PM
CCB Auditorium – UFSC
Bioinformatics and Metagenomic Data Analysis – 3 credits
Graduate Program in Biotechnology and Biosciences – 2026.2
Prof. Dr. Rubens Tadeu Delgado Duarte (Course Coordinator)
Dr. Lívia Budziarek Eslabão (Invited Postdoctoral Researcher)
During the 2026.2 semester, the Graduate Program in Biotechnology and Biosciences at UFSC is offering the course Bioinformatics II: Metagenomic Data Analysis, focused on the analysis and interpretation of data generated by high-throughput sequencing technologies. The course covers strategies for the structural and functional analysis of genomes and metagenomes, integration of omics datasets, and applications in systems biology, culminating in the development of a biological data analysis project.
📅 Enrollment
• Regular graduate students: July 16–20
• Students from other UFSC graduate programs: starting July 22
• Non-degree (special enrollment) students: July 29–31
Info: Programa de Pós-Graduação em Biotecnologia e Biociências
From July 8 to 10, the Laboratory of Molecular Ecology and Extremophiles (LEMEx) hosted a training course on Nanopore sequencing using the MinION platform, taught by Dr. Fernando Lucas Melo, a researcher at Embrapa.
Throughout the three-day course, participants gained both theoretical and practical knowledge of third-generation sequencing technology, covering topics ranging from sample and library preparation to instrument operation, data analysis, and applications in various fields of scientific research.
