26–30 April 2026
Deadline of registration to be considered to the course:
20/11/2023
Deadline of registration to be considered to the course:
20/11/2023
Hands-on course in Genomics
27 AND 28TH APRIL 2026 (FULL DAY): PLEASE NOTE THAT COURSE 1 (16S/Metagenomics) and COURSE 2 (Exome sequencing and analysis) are PRE-MEETING COURSES WHICH WILL TAKE PLACE IN 27 AND 28 TH APRIL 2026 (https://www.nupemgenomicweek.com/hands-on-course)
COURSE 1 – NANOPORE METAGENOMICS (16S / ENVIRONMENTAL AND SOIL SAMPLES)
COORDINATION: Prof. Amana Guedes Garrido (Museu Nacional/UFRJ); Bruno Rodrigues (NUPEM/UFRJ); Allan Pozzobon (EcoDNS and NUPEM/UFRJ); Lupis Ribeiro (NUPEM/UFRJ); Arieli Portugal (NUPEM/UFRJ)
CONTENT/COURSE DESCRIPTION: 16S METAGENOMICS IN MICROBIAL ECOLOGY
This course provides a practical and conceptually grounded introduction to the analysis of microbial communities using 16S rRNA gene sequencing. Participants will follow the complete workflow, from sample processing and library preparation to sequence quality control, taxonomic assignment, and diversity analyses. Emphasis is placed on understanding methodological choices, sources of bias, and the biological interpretation of results. The course is aimed at researchers and health professionals interested in applying metagenomic approaches to environmental microbiology, microbial ecology, and microbiome-related studies in health and disease.
COURSE 2 – EXOME SEQUENCING AND RARE DISEASE DIAGNOSIS
CONTENT: EXOME SEQUENCING IN PERSONALIZED MEDICINE
This course focuses on the principles and applications of Whole Exome Sequencing (WES) in clinical and biomedical research. Participants will be guided through the full analytical pipeline, including read alignment, variant calling, annotation, filtering, and interpretation of coding variants. Special attention is given to variant pathogenicity assessment and the integration of genomic data with clinical information. The course is designed for researchers and healthcare professionals seeking a solid methodological foundation to translate exome data into biologically and clinically meaningful insights.