Working with Bacterial Genomes (IN-PERSON)
Date: 11 - 15 December 2023
This comprehensive course equips you with essential skills and knowledge in bacterial genomics analysis, primarily using Illumina-sequenced samples. You'll gain an understanding of how to select the most appropriate analysis workflow, tailored to the genome diversity of a given bacterial species. Through hands-on training, you'll apply both de novo assembly and reference-based mapping approaches to obtain bacterial genomes for your isolates. You will apply standardised workflows for genome assembly and annotation, including quality assessment criteria to ensure the reliability of your results. Furthermore, you'll learn how to construct phylogenetic trees using whole genome and core genome alignments, enabling you to explore the evolutionary relationships among bacterial isolates. Lastly, you'll apply methods to detect antimicrobial resistance genes. As examples we will use ''Mycobacterium tuberculosis'', ''Staphylococcus aureus'' and ''Streptococcus pneumoniae'', allowing you to become well-equipped to conduct bacterial genomics analyses on a range of species.
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
- Further details regarding eligibility criteria are available here.
Venue: Craik-Marshall Building
Country: United Kingdom
Postcode: CB2 3AR
Organizer: University of Cambridge
Host institutions: University of Cambridge Bioinformatics Training
Target audience: The course is aimed at biologists interested in microbiology, prokaryotic genomics and antimicrobial resistance.
- Workshops and courses
Scientific topics: Bioinformatics, Data visualisation, Phylogenetics