Applied OMICs

Year
1

Academic year
2020-2021

Code
02038834

Subject Area
Computational Biology

Language of Instruction
Portuguese

Other Languages of Instruction
English

Mode of Delivery
Face-to-face

Duration
SEMESTRIAL

ECTS Credits
6.0

Type
Compulsory

Level
2nd Cycle Studies - Mestrado

Recommended Prerequisites

Not applicable.

Teaching Methods

Teaching methodologies:

1. Theoretical-practical classes with slides exposition, educational movies and several example.

2. In addition to theoric classes, students should consult the selected literature (books, websites and scientific articles).

3. Solving biological problems through a practical group project development - oral (15%) and written presentation (35%).

4. Final exam (50%; without consultation).

Learning Outcomes

The improvement and development of new technologies in the last years has led to an increase in the number of publicly available omics data, including from (meta)genomic, transcriptomic, proteomic and metabolomics. Understanding the meaningful insights brought by omic's data for solving complex biological problems, is now one of the most significant challenges of our days. The main goal of this unit is to provide the students with biological and computational knowledge and tools for the acquisition, integration, processing, storage and handling of data from different sequencing platforms and public repositories.

Work Placement(s)

Syllabus

1. Experimental design of omics studies.

2. Introduction to platforms for omics data acquisition.

3. Use of sequencing data for the study of functional, taxonomy and comparative (meta)genomic: available tools and reference databases.

4. Submission of sequencing data to public repositories.

5. Introduction to databases of Omic's data: example of cancer.

6. Search, acquisition, integration, processing and storage of databases.

7. Pharmacogenomics and target therapy.

8. Pathway/networks of data analysis.

9. Protein-protein interaction networks.

10. Proteomics: folding classification and function-from-structure for proteins.

11. Structure of biological molecules

12. Protein complex formation and molecular interactions.

13. Data visualization.

Head Lecturer(s)

Irina de Sousa Moreira

Assessment Methods

Assessment
Research work: 50.0%
Exam: 50.0%

Bibliography

“Bioinformatics for Beginners - Genes, Genomes, Molecular Evolution, Databases and Analytical Tools”, Supratim Choudhuri, 2014, Academic Press.

“Introduction to Proteins: Structure, Function, and Motion, Second Edition”, Amit Kessel, Nir Ben-Tal, 2018, Chapman and Hall/CRC.