- Genome sequences – sequencing technology and brief NGS overview
- Genome browsers and annotation
- Comparative Genomics
- Human variation
*For session 2, lecture recording 3.2 explains a self-study exercise. Take 10-15 minutes to perform the task outlined in this video before moving on to lecture recording 4
Trainer: ‘Genome sequences’ and ‘Comparative Genomics’
Affiliation: Institut Pasteur de Tunis, H3ABioNet
Fatma Guerfali is member of the Laboratory of Transmission, Control and Immunobiology of Infections (LR11IPT02) at Institut Pasteur de Tunis (IPT). Fatma obtained her PhD in Molecular Biology jointly from University Montpellier 2, France and University Tunis El Manar, Tunisia. During her PhD she worked on high-throughput approaches applied to analyse both transcriptomes of infected human macrophages and their different infecting Leishmania strains of contrasted virulences or tropisms. She is currently involved in the generation, analysis, and data mining of high throughput DNAseq, RNAseq, SAGE or microarray data from Leishmania parasites. Her main research interests rely in the analysis of clinical isolates of Leishmania parasites showing differential disease manifestation in human patients and classified according to their associated virulence. The long-term goal is the identification of molecular determinants and genomic variations with a discriminating potential between these parasite isolates as potential drug targets. She has been an invited speaker in several local and international courses and workshops for post-graduates in the field of NGS. Fatma is a member of IPT H3ABioNet node.
Trainer: ‘Genome browsers’ and ‘Human variation’
Affiliation: South African National Bioinformatics Institute, University of the Western Cape
Dr Colleen Saunders is a DST/NRF Innovation Postdoctoral fellow at the South African National Bioinformatics Institute (SANBI) in the Faculty of Natural Sciences at the University of the Western Cape. She has a PhD in Exercise Physiology from the University of Cape Town and her research to date has focussed on genetic risk factors for musculoskeletal soft-tissue injuries such as tendinopathy.