Technologies and Data Analysis in Genomics

Recommended Prerequisites

The student should have knowledge on Cell and Molecular Biology and Mathematics corresponding to the 1st and 2nd year of the Integrated Master. The student should be able to read and understand papers or other bibliography in English.

Teaching Methods

Teaching methodologies:
- Theoretical classes: 14 h
- Theoretical/Practical classes: 28 h
- discussion of scientific papers and different topics of genomics with students;
- interaction with different genomic methodologies in the lab;
- resolution of problem-cases with different bioinformatics tools
- Tutorial: 10 h
- guidance in the resolution of case-problems, scientific papers and topics discussion
Evaluation:
- Discussion and presentation of individual work - 40%
- Exam - 60%.

Learning Outcomes

Understand the genome and its specifications.
Understand the importance of Genomics, the science that analyses  complete genomes or a large set of genes simultaneously, in different fields, namely in the field of medicine.
Understand the contents of genomic subfields, like structural genomics, functional genomics, and comparative genomics.
Evaluate and identify the different technological tools in the field of genomics, understanding its limitations and possibilities.
Identify, evaluate and understand data bases and bioinformatic tools for the analysis of multiple data, in the field of genomics.
Identify and understand the importance and the application of different technologies and tools for data analysis in emergent fields like pharmacogenomics, nutrigenomics, toxicogenomics and metagenomics.
Delineate strategies and approaches to data analysis in genomics.
Discuss ethical and regulatory issues related with data analysis and interpretation in the field of genomics.

Work Placement(s)

No

Syllabus

1 - Basic concepts in Genetics
- DNA, genes and chromosomes
- Mutations and chromosomal abnormalities
- Gene expression and its regulation
- Genetic variability
2 – Structural Genomics
- Technologies and tools
- Genomes mapping and genomic annotation
- International Projects, eg: HGO, 100 000 genomes, HapMap Project
- Structural Genomics - data bases and bioinformatic tools
3 – Functional Genomics
- Correlation of Genomics with Transcriptomics, Proteomics, Metabonomics and
Lipidomics
- Technologies  and Tools
-- International Projects, eg: Encode Project
Functional Genomics - data bases and bioinformatic tools
4- Comparative Genomics and evolution
- Variation of different genomes - human genome and genomes of some animal
models
- Metagenomics and its applications
- Comparative Genomics - data bases and bioinformatic tools
5- Genomics and Medicine
- Genomics in clinical diagnosis and forensic research
- Pharmacogenomics, nutrigenomics and toxicogenomics
- Ethical issues.

Head Lecturer(s)

Maria Joana Lima Barbosa Melo

Assessment Methods

Assessment
Synthesis work: 40.0%
Exam: 60.0%

Bibliography

Livros/Books:
- Artigos científicos e de revisão / Scientic and review papers
- Introduction to Genomics, 2nd edition, Arthur Lesk, ISBN 978-0-19-956434-4
- Bioinformatics and Functional Genomics, 2nd edition, Jonathan Pevsner, ISBN: 978-0-470-45148-9.
Outros/Others:
- Outro material / Other material.