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--- | ||
title: "Using the ARTIC MPXV ONT pipeline | EPI2ME" | ||
keywords: protocol | ||
layout: document | ||
last_updated: 2024-08-22 | ||
tags: [protocol] | ||
summary: | ||
permalink: /mpxv/mpxv-ont-epi2me-sop.html | ||
folder: mpxv | ||
title_text: "Running the ARTIC MPXV analysis pipeline for nanopore data using EPI2ME" | ||
subtitle_text: "ARTIC nanopore protocol | bioinformatics" | ||
document_name: "ARTIC-MPXV-nanopore-Epi2Me-SOP" | ||
version: v1.0 | ||
creation_date: 2024-08-22 | ||
revision_date: | ||
forked_from: | ||
author: Lauren Lansdowne | ||
citation: | ||
nav_menu: false | ||
show_tile: false | ||
category: mpxv-epi2me | ||
--- | ||
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{% include callout.html | ||
type='default' | ||
content='**Overview:** | ||
' | ||
%} | ||
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## Using the ARTIC MPXV ONT pipeline in EPI2ME | ||
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## --- | ||
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**Requirements:** | ||
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* EPI2ME already installed (see separate document “Laptop Setup Instructions”) | ||
* Internet access to download the pipeline, and for the first time running it. After that, you should be able to run it offline | ||
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--- | ||
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### **Import the workflow** | ||
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Open EPI2ME. On the main dashboard select “View workflows”. | ||
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<img width="500" src="/assets/images/mpxv/ont-sop/screenshot_1.png"> | ||
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Then select “Import workflow”. | ||
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<img width="500" src="/assets/images/mpxv/ont-sop/screenshot_2.png"> | ||
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A pop-up window will appear where you can enter the GitHub URL. Enter the URL and click “Download” ([https://github.com/artic-network/artic-mpxv-nf](https://github.com/BioWilko/artic-mpxv-nf)): | ||
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<img width="500" src="/assets/images/mpxv/ont-sop/screenshot_3.png"> | ||
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Once it has downloaded, it will be ready in the Available Workflows tab. Select it and you will be taken to a landing page for this workflow. | ||
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### **Running the workflow** | ||
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From the workflow landing page, click “Run this workflow”. | ||
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<img width="500" src="/assets/images/mpxv/ont-sop/screenshot_4.png"> | ||
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Then select “Run on your computer” and click “Continue”. | ||
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<img width="500" src="/assets/images/mpxv/ont-sop/screenshot_5.png"> | ||
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It will then ask you to select your fastq folders. Select the ones you want and continue. | ||
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<img width="500" src="/assets/images/mpxv/ont-sop/screenshot_6.png"> | ||
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Go to the Primer Scheme Selection tab and **make sure that the primer scheme matches the one you used**. If your scheme is not listed, you can use the “Custom scheme” section to provide the full path to the directory containing your appropriately named scheme bed and fasta files; \<SCHEME\_NAME\>.bed and \<SCHEME\_NAME\>.fasta. | ||
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<img width="500" src="/assets/images/mpxv/ont-sop/screenshot_7.png"> | ||
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Finally click “Launch workflow”. It will then start running. The runtime will depend on the size of your files and the speed of your computer, but 10-30 minutes is common. While it is running you will see a series of progress bars, and at the top a blue ‘Running’ icon. This will change to green and ‘Complete’ when it has finished. | ||
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<img width="500" src="/assets/images/mpxv/ont-sop/screenshot_8.png"> | ||
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When it has finished you will have a collection of outputs for both consensus and individual barcodes. | ||
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## Advanced Options | ||
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### **Changing the pipeline version** | ||
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If you need to use a previous or a development version of the pipeline, this can be selected from the workflow landing page. | ||
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<img width="500" src="/assets/images/mpxv/ont-sop/screenshot_9a.png"> | ||
<img width="500" src="/assets/images/mpxv/ont-sop/screenshot_9b.png"> | ||
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### **Changing the basecaller** | ||
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Medaka runs within the pipeline to call variants between the reads provided and the reference. It will try to auto-select. If it is unable to auto-select (for example if your data was basecalled with a version of MinKNOW which is no longer supported) you may need to choose an option from this drop down list of available models in “Advance Options” (scroll down). | ||
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<img width="500" src="/assets/images/mpxv/ont-sop/screenshot_10.png"> | ||
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**We recommend you use a supported version of MinKNOW**. As a work around, you should select an option from this list of models which matches the flowcell chemistry and sequencing speed. | ||
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{% include wellcome-trust.html %} | ||
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<div class="pagebreak"> </div> |
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