CVR-VBG-2023

Welcome to CVR 6th Annual training course on Viral Bioinformatics and Genomics course (21 - 25 August 2023)

Location: Boyd Orr building, University of Glasgow, United Kingdom

Course content

The 2023 course will introduce the participants to the UNIX OS and Bash scripting along with a suite of bioinformatics tools covering the following topics:

▪ HTS sequencing technologies: overview of the different HTS platforms and sample preparations
▪ Unix OS: introduction to Unix OS and essential Bash scripting
▪ Reference assembly: aligning sequence reads to a known reference and visualization (e.g., bowtie2, BWA, Tanoti, Tablet, UGENE)
▪ Variant calling: consensus sequence generation, low frequency variant calling and error correction (e.g., samtools, LoFreq, DiversiTools)
▪ De-novo assembly: overlap layout and de Bruijn graphs approaches for sequence assembly, quality assessment and merging contigs (e.g., ABySS, SPAdes, MIRA, IDBA-UD, QUAST)
▪ Metagenomic analyses:sanitizing sequence datasets, assembling, annotating, visualization (e.g., MetAMOS, Krona, DIAMOND, Kraken)
▪ Genomics: scaffolding, improving and finishing the assembly, gene annotation (e.g., ICORN, Artemis, RATT)
▪ Phylogenetic analysis: introduction to multiple sequence alignment and phylogenetic reconstruction (e.g., Muscle, PhyML, FigTree)

Prerequisites

Preference will be given to applicants who: (1) have some familiarity with HTS technologies; (2) have already or are planning to generate viral HTS data in their work; and (3) have an interest in computers and programming (some basic experience in a command-line environment is a prerequisite)

Instructors

David Robertson
Derek Wright
Joseph Hughes (Course Organizer)
Quan Gu
Richard Orton
Sreenu Vattipally
Srikeerthana Kuchi (Course Organizer)

Timetable

Practical Modules

  1. Introduction to Linux
  2. Read cleaning
  3. Reference Alignment
  4. Phylogenetics
  5. De novo assembly
  6. De novo quality assessment
  7. Metagenomics and virus discovery
  8. K-mer based metagenomic profiling
  9. Introduction to Transcriptomics