ViralBioinfLAC2022

Viral Genomics and Bioinformatics Latin America and the Caribbean LAC 2022

Base for the Viral Genomics and Bioinformatics Repository

Course overview

We are pleased to announce the next Viral Genomics and Bioinformatics course in collaboration with COVID-19 Genomics (COG) Train (COG-Train).

Viruses are a huge public health burden all around the world. Latin America is bearing the burden of the SARS-CoV-2 virus in addition to endemic viruses such as zika, chikungunya and dengue. Apart from health issues, emerging viral illnesses and epidemics have a global economic impact. According to the World Bank, the SARS-Cov-2 pandemic caused a more than $10 trillion deficit in the global economy in 2020-2021 alone. This demonstrates the impact of viral illnesses not only on human and animal health, but also on social and economic growth of the world.

Technological advances in science and research are making it possible to rapid detection, surveillance and management of viral diseases. In recent years, next generation sequencing (NGS) technologies have played an important role in the identification and classification of viruses, in the detection of drug resistance mutations and in the treatment and surveillance of viral diseases. Early identification of a virus and quick analysis of its genome will aid towards better treatment and help in controlling the disease spread. Along with the advances in the sequencing technologies, it is necessary to develop data management methods, computational analysis tools and human expertise to cope with the sequence deluge. The number of researchers able to interpret viral high throughput sequence data is currently limited.

The Viral Genomics and Bioinformatics course will teach participants how to analyse viral genome sequences and interpret genomic data obtained by high-throughput sequencing. The use of the command line to analyse viral NGS data, quality control of sequences, reference mapping and de novo assembly of viral genomes, pathogen identification from metagenomics data, and creating phylogenetic trees will be covered in the course. Participants, along with gaining bioinformatics knowledge, will have an opportunity to establish links and networks and develop future collaborative projects.

Course website

Instructors

Timetable

Overview

Detailed timetable

View Timetable here

Advanced Learning and Training Handout

View ALT Handout here

Course manual

Post course Lecture Recordings
Course Lectures Playlist

Module 1 - Introduction to Linux + Module 2 - Linux text processing
PDF Manual - Introduction to Linux + Text processing
PDF Lectures Slides - Introduction to Linux + Text processing
PDF Solutions - Introduction to Linux + Text processing

Module 3 - Introduction to NGS sequencing
Pre-recorded-Video - Marta Giovanetti

Module 4 - NGS file formats and data & QC
Online Manual - NGS data Quality Control QC

Module 5 - Introduction to BASH scripting
Online Manual - BASH scripting

PDF Slides - Bash Scripting

PDF Answers - Bash Scripting

Module 6 - Reference Alignment
Online Manual - Reference Alignment

Module 7 - Coverage Plots and Stats
Online Manual - Coverage Plots and stats

Module 8 - Consensus & variant calling
Online Manual - Consensus & variant calling

Module 9 - De Novo assembly
PDF Manual - De Novo assembly

Module 10 - Pathogen sequence detection using metagenomics
Online Manual - Metagenomics

PDF Manual - Metagenomics

Module 11 - Introduction to phylogenetic methods
Online Manual - Phylogenetics and Virus Typing

PDF Phylogenetics_Hands-on exercises

Slides Intro_to_MSA

Slides Phylogenetics

Module 12 - SARS-CoV-2 workflows

Online Manual - SARS-CoV-2 Reference Alignment

Online Manual - SARS-CoV-2 Lineages and Mutations

Online Manual - SARS-CoV-2 Phylogenetics

Online Manual - SARS-CoV-2 Group Practical

Appendix
PDF - ALT Learning Outcomes Session 2 Slides
PDF - Answers ALT Learning Outcomes Exercise

Software List used in Virtual Machine

Any reuse of the course materials, data or code is encouraged with due acknowledgement.


License

Creative Commons Licence
This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).