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SUPP003

Nanopore Workshop

From $750.00

Online workshops with Oxford Nanopore specialists providing the opportunity to learn the essentials of Nanopore Sequencing and data analysis.

The workshop will be run over two sessions (3.5 hours each), session one is an introduction covering the technical considerations for planning your experiments. Session two is an overview of Nanopore data and analysis resources.

Notice

Due to COVID-19, we are making our training packages available online. Please contact our Customer Service team if you would like to discuss your training options with Oxford Nanopore.

 

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13:00 EST, New York USA
More Info Language: English Session1: 13/08/2020 Session2: 14/08/2020
New York, US
More Info Venue: Oxford Nanopore Technologies, 101 Avenue of the Americas, New York, NY 10013 Language: English
14:00 JST, Tokyo JP
More Info Language: Japanese Session 1: 19/08/2020 Session 2: 20/08/2020
Session 1: Online Introduction Workshop. Session 2: Online Data Analysis Workshop
Wed, 19th August, 2020
$750.00
09:30 BST, London UK
More Info Language: English Session 1: 20/08/2020 Session 2: 21/08/2020
Session 1: Online Introduction Workshop. Session 2: Online Data Analysis Workshop
Thu, 20th August, 2020
$750.00

Online Introduction Workshop

Oxford Nanopore experts will provide attendees (up to 20) with a comprehensive overview of Nanopore Sequencing, how to plan your experiments and get started with the technology. This will run for 3.5 hours with regular Q&A sessions. The agenda includes the following sections:

  • Introduction to Nanopore Sequencing
  • Planning your experiments
  • Handling your flow cell
  • Software introduction
  • Resources overview

Online Data Analysis Workshop

Oxford Nanopore experts will provide attendees (up to 20) with a comprehensive overview of fundamental aspects of long-read data, starting your analysis and representative analytical workflows. This will run for 3.5 hours with regular Q&A sessions. The agenda includes the following sections:

  • Introduction to long-read data
  • Command line fundamentals
  • Data analysis planning and quality assessment
  • Epi2me software
  • Analysis workflows
  • Bioinformatics resources and guides
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