Bioinformatics for Infectious Diseases is an online training program designed to introduce students, clinicians and researchers to the role and the applications of bioinformatics to the study of pathogenic microorganisms and their interaction with the host which lead to and enable human disease.
Using examples from peer-reviewed publications, participants will learn to apply bioinformatics tools to publicly available genomic and transcriptomic data on Ebolavirus, Sars-COV-2, Mycobacterium tuberculosis and other pathogens. The program includes 10 online sessions, 6 asynchronous courses and several curated datasets.
Overview of NGS: reads, sequences, file formats alignment, annotation and non-mapped reads Alignment to databases of viral genomes.
Comparing (Multiple Sequence Alignment), Finding a consensus and identifying relationships between sequences.
Multiple sequence alignment of viral genomes and building a phylogenetic tree (full pipeline of MSA and phylogenetic tree reconstruction).
Workflows and Interpretation of Phylogenetic Analysis: Evolutionary relationships between genomes, evolutionary time.
Host transmission: infection, cell entry and tissue tropism.
Viral proteins: the effect of replication and Immune evasion on the protein level variation and interaction.
Case-study: studying about the origins of human infection by comparative analysis of MERS, SARS, and SARS-2 viruses.
Working with point mutations: substitutions, insertions and deletions. Mutation rate and fitness (frequency, entropy, conservation).
Codon/amino-acid and chemical properties Location on genome and protein function.
Protein-protein interaction and host immune response considerations for vaccine design.
This is a private organization. To join you must be a registered site member and request organization membership.