RNA-seq data analysis
Access to genomic data—that is, detailed information and measurements of the molecular characteristics of a given organism, such as DNA, RNA, genes, or proteins—has changed the level of detail with which scientists and doctors can study human physiology in health and disease. For example, using appropriate experimental methodologies, it is now possible to collect genomic data that details the characteristics of different patients in high resolution, thus allowing a more in-depth molecular and cellular characterization of their physiological state and, consequently, a better assessment and selection of therapies to be used for the treatment of the pathology presented.
Cellular organisms are highly complex, containing multiple layers of regulation at the molecular level. Quantifying the expression of RNA from the different genes encoded in our DNA—gene expression—using sequencing methods allows us to obtain a detailed map of the molecular and biological transcriptional programs active in a given organism. However, processing this type of data is complex and requires the application of appropriate methods to obtain robust conclusions.
This course will help participants understand the challenges encountered during gene expression data analysis using simple practical examples. The course will be taught in English.
Objectives
By the end of this course, students will be able to:
- Understand the usefulness of genomic data in biomedical research
- Apply computational pipelines to process RNA-seq data
- Use methods and tools to quantify and visualize RNA-seq data
- Apply regression models to calculate differential gene expression
- Integrate functional analyses based on differential gene expression
Target Audience
CAML PhD students and external students
No prior experience with bioinformatics or biostatistical analysis is required, but participants who are not familiar with the R programming language must complete a short free online course before the first session (to be sent by the coordinators).
Dates
Application: to 17 October, 2025.
Course dat: from 3 to 7 November, 2025, 9h30 AM - 5:00PM.
O workshop tem a duração total de 45 horas (35 horas de contato + 10 horas de trabalho Autónomo).
Location
Lisbon School of Medicine
Room to be determined
ECTS
1,5
Tuition fees
External course fee: €30
CAML PhD students: Free
Certification
Students who attend 80% of the course will receive a certificate of attendance. Students who pass the final assignment will be eligible for credit.
For certification purposes, requests must be sent to the email address camlphd@medicina.ulisboa.pt, by filling out the appropriate form, available here.
Certificate of completion: €10
