Sumários
Massive Parallel Sequencing for Genomics and Transcriptomics
7 Outubro 2020, 15:00 • Margarida Henriques da Gama Carvalho
Evolution of DNA sequencing technologies: from Sanger to Massive Parallel Sequencing.
The pioneers: Polony and Pyrosquencing 454.
Illumina sequencing.
The concept of sequencing depth.
The 4th generation: Nanopore sequencing.
The .fastq data format
Introduction to R and NGS data
7 Outubro 2020, 13:30 • Margarida Henriques da Gama Carvalho
R as a common tool for Bioinformatics
An introduction to R and R studio for data analysis
Overview of R studio and the R101 guide
Exploring a FASTQ data file with linux
Microarrays and the start of Omics data analysis
30 Setembro 2020, 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
30 Setembro 2020, 13:30 • Margarida Henriques da Gama Carvalho
- Identify and explain microarrays and their different applications as the first true 'omics' technology.
- Understand the new ways of looking at data that emerged from microarray technologies.
- Become familiar with transcriptomics data repositories
- Understand the need for structured information, data file formats and metadata
- Recognize the limitations of working with software like Excel
- Have a first contact with linux for data analysis
An introduction to the era of large-scale data in Biological sciences
23 Setembro 2020, 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.