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A bacterial genome assembly and annotation laboratory using a virtual machine.
Trofimova, Ellina; Asgharzadeh Kangachar, Shahla; Weynberg, Karen D; Willows, Robert D; Jaschke, Paul R.
Afiliação
  • Trofimova E; School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia.
  • Asgharzadeh Kangachar S; ARC Centre of Excellence in Synthetic Biology, Macquarie University, Sydney, Australia.
  • Weynberg KD; Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.
  • Willows RD; Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.
  • Jaschke PR; School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia.
Biochem Mol Biol Educ ; 51(3): 276-285, 2023.
Article em En | MEDLINE | ID: mdl-36866633
With the global increase of infections caused by antibiotic-resistant bacterial strains, there is an urgent need for new methods of tackling the issue. Genomic analysis of bacterial strains can help to understand their virulence and antibiotic resistance profile. Bioinformatic skills are in great demand across the biological sciences. We designed a workshop that allows university students to learn the process of genome assembly using command-line tools within a virtual machine on a Linux operating system. We use Illumina and Nanopore short and long-read raw sequences to reveal the advantages and disadvantages of short, long, and hybrid assembly methods. The workshop teaches how to assess read and assembly quality, perform genome annotation, and analyze pathogenicity, antibiotic and phage resistance. The workshop is intended for a five-week teaching period and is concluded by a student poster presentation assessment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica Limite: Humans Idioma: En Revista: Biochem Mol Biol Educ Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica Limite: Humans Idioma: En Revista: Biochem Mol Biol Educ Ano de publicação: 2023 Tipo de documento: Article