Introduction to R and NGS data

6 Outubro 2021, 13:30 • Margarida Henriques da Gama Carvalho

R as a common tool for Bioinformatics

Microarrays and the start of Omics data analysis

29 Setembro 2021, 15:00 • Margarida Henriques da Gama Carvalho

The first 'Omic' technology - microarrays for transcriptomics and mapping of genomic variations.

New perspectives for the analysis of large scale biological data.

Introduction to Microarray and Omics data analysis

29 Setembro 2021, 13:30 • Margarida Henriques da Gama Carvalho

1. Identify and explain microarrays and their different applications as the first true 'omics' technology.
2. Understand the new ways of looking at data that emerged from microarray technologies.
3. Become familiar with transcriptomics data repositories
4. Understand the need for structured information, data file formats and metadata
5. Recognize the limitations of working with software like Excel
6. Have a first contact with linux for data analysis

An introduction to the era of large-scale data in Biological sciences

22 Setembro 2021, 15:00 • Margarida Henriques da Gama Carvalho

Introduction to 'Omics' and its place in the current context of Biomedicine/Biotechnology research and applications.

Biological Systems and Biological Complexity and approaches to study them.

The Large-Scale paradigm and the  DIKW model (Data-Information-Knowledge-Wisdom). 

The problem with 'Omic' data.

From biological systems complexity to 'Omics' approaches.

The Human Genome Project and the origins of 'Big Science'.

Aims, achievements and limitations of the Human Genome Project. 

The first 'Omic' technology - microarrays for transcriptomics and mapping of genomic variations.

An introduction to large-scale methods in Biosciences

22 Setembro 2021, 13:30 • Margarida Henriques da Gama Carvalho

1. Define the term 'omics' and provide some examples of 'omics' approaches;
2. Contextualize these research approaches in the current landscape of BioSciences and its aims; 
3. Understand the evolution from biochemistry/molecular biology to the systems biology level and the potential of ensuing applications;
4. Understand the importance and need for quantitative and large-scale data analysis approaches in the current panorama of biological sciences and the need for a new generation of 'Bio-professionals';
5. Understand the difference between data and knowledge. 
6. Acquire an historical perspective for the appearance of 'Big Science' and 'Omics' Technologies;
7. Have an in-depth understanding of the aims and achievements of the Human Genome Project;
8. Understand the impact of the HGP in technological development in the 20th century;
9. Review and understand the basic principles of conventional DNA sequencing (Sanger sequencing)
10. Identify and explain microarrays and their different applications as the first true 'omics' technology.