CGR & NERC Metagenomics 3-Day Workshop

9:00am - 5:00pm / Wednesday 18th July 2018 / Venue: Life Sciences Building
Type: Workshop / Category: Research / Series: Centre for Genomic Research
  • Suitable for: Candidates will be selected on their suitability as outlined in their statement. Attendees are required to have basic linux command line skills. Candidates can be advised on how to gain these skills in an easy and free manner. For more information on the workshop and required prerequisites please contact Matthew Gemmell (matthew.gemmell@liverpool.ac.uk).
  • Admission: Registration link: https://goo.gl/forms/QUAZPu9k6Y6nkeRp1 There is a one-off £75 registration fee but the cost of three nights’ accommodation, meals throughout the workshop and standard travel will be covered by sponsorship from NERC. Further details of the payment process and accommodation will be advised upon acceptance to the workshop. Your application should be received no later than 5.00 p.m. on Friday, 22nd June 2018 and your place on the workshop will be confirmed by email no later than 5.00 p.m. on Friday, 1st July 2018. If, however, you do not receive an email within 5 days of the application deadline, please contact Lesley Parsons (parsonsl@liverpool.ac.uk).
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This 3-day bioinformatics course is presented by the Centre for Genomic Research and funded by the Natural Environment Research Council (NERC). It primarily focuses on practical computer sessions designed to provide delegates with hands-on experience of the informatics involved in analysing metagenomic and metagenetic datasets.
16S rRNA gene profiling (metagenetics) and shotgun sequence based metagenomics are now well established and can be utilised to characterise complex populations. The course will provide a 3-day introduction to the conceptual and practical issues involved in analysing such datasets, generated from the Illumina NGS platforms, and comprises the following sessions:

• Sequence data QC and preparation for downstream analyses
• Metagenomic shotgun sequence analysis.
• Taxonomic profiling (MetaPhlAn)
• Metagenome assembly (MEGAHIT) and annotation (Prokka)
• Functional annotation (Cognizer)
• Data visualisation
• Analysis of 16S rRNA data with QIIME
• Laboratory tour of sequencing laboratory
• Metagenome functional prediction using metagenetic data