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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260617T084611Z
UID:b0a6d2ae-de48-4450-8e8d-770839229d0d
DTSTART:20250730T090000Z
DTEND:20250730T170000Z
DESCRIPTION:Modern biological research generates vast amounts of data that 
 require complex computational workflows to process efficiently and reprodu
 cibly. As data volumes continue to grow\, so does the demand for computing
  infrastructure to process them. Deploying these workflows in the cloud is
  becoming increasingly common. This webinar will introduce the fundamental
  concepts of cloud deployment for Nextflow pipelines and demonstrate the s
 teps required for setting up a fully functional pipeline in the cloud.\n\n
 We will begin by describing the purpose of Workflow Management Systems (su
 ch as Nextflow) and why they have become indispensable in modern computati
 onal biology. The session will cover both the benefits and potential limit
 ations of cloud-based workflow execution\, helping you understand when and
  why to leverage cloud resources for your computational workloads.\n\nWe w
 ill use the "Biome-specific Shallow-shotgun Inference of Functional Traits
  through Read-mapping" ([BioSIFTR](https://github.com/ebi-metagenomics/bio
 siftr)) pipeline as our case study. This pipeline\, developed by the Micro
 biome Informatics team at EMBL-EBI as part of the [Finding Pheno project]
 (https://findingpheno.eu/)\, serves as an excellent example of a complex c
 omputational workflow on a public cloud platform using Nextflow.
LOCATION:\, 
SUMMARY:Deploying Nextflow pipelines in the cloud: a practical introduction
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/deploying-nextflow-pipe
 lines-cloud-practical-introduction
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