Design of an in-silico workflow to trace the spread of zoonotic bacteria using NGS data
Tracing the spread of foodborne illness to analyze and prevent future outbreaks has become a major subject of the food-producing industry and the national food agency these past decades, and one of the main worries of the veterinarian sector. Methods for comparing bacterial strains for this purpose...
| Autor principal: | |
|---|---|
| Formato: | Second cycle, A2E |
| Lenguaje: | sueco Inglés |
| Publicado: |
2015
|
| Materias: | |
| Acceso en línea: | https://stud.epsilon.slu.se/8024/ |
Ejemplares similares: Design of an in-silico workflow to trace the spread of zoonotic bacteria using NGS data
- TOGGLe, a flexible framework for easily building complex workflows and performing robust large-scale NGS analyses
- Review of tricot principles and data analysis workflows
- Current workflows in forage breeding scheme
- Improvement of the banana “Musa acuminata” reference sequence using NGS data and semi-automated bioinformatics methods
- New putative antimicrobial candidates: In silico design of fish-derived antibacterial peptide-motifs
- Developing genotyping capacity and establishing an end-to-end genotyping workflow at CSIR-SARI