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Add figure of QUAST html report
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topics/microbiome/tutorials/metagenomics-assembly/tutorial.md

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@@ -15,7 +15,7 @@ objectives:
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- "Explain the difference between co-assembly and individual assembly."
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- "Explain the difference between reads, contigs and scaffolds."
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- "Explain how tools based on de Bruijn graph work."
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- "Evaluate the Quality of the Assembly with QUAST, Bowtie2, and CoverM-Contig."
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- "Evaluate the quality of the Assembly with QUAST, Bowtie2, and CoverM-Contig."
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- "Construct and apply simple assembly pipelines on short read data."
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time_estimation: "2H"
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key_points:
@@ -79,7 +79,7 @@ Assembling seems intuitively similar to putting together a jigsaw puzzle. Essent
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> 2. Overlap Layout Consensus
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> 3. De Bruijn graphs. The following figure illustrates these strategies in brief.
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>
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> ![Image shows greedy extention, overlap layout consensus, and de Brujin graphs assembly algorithms](./images/assembly-algorithms.png "Assembly algorithms. Image from {% cite carpentries %}"){:width="70%"}
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> ![Image shows greedy extention, overlap layout consensus, and de Brujin graphs assembly algorithms.](./images/assembly-algorithms.png "Assembly algorithms. Image from {% cite carpentries %}."){:width="70%"}
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>
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> The nice paper {% cite miller2010 %} on assemblers based on these algorithms will help you to better understand how they work.
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{: .details}
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> <hands-on-title>Upload data into Galaxy</hands-on-title>
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>
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> 2. The information we need to import the samples for this tutorial (Sample ID, and link to the FASTQ file (URL) are in the grey box below.
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> - The information we need to import the samples for this tutorial (Sample ID, and link to the FASTQ file (URL) are in the grey box below.
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>
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> ```text
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> SampleID URL
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> - Paste the table.
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> - Remove the first line.
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> - Click **Build**
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> ![Rule-based Uploader](./images/data-import-1.png "Rule-based Uploader")
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> ![Using the rule-based uploader.](./images/data-import-1.png "Using the rule-based uploader")
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> - On the "Rules" pane on the left, click on "Click here" to set column definitions.
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> ![Column definitions](./images/data-import-2.png "Column definitions")
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> ![Applying column definitions.](./images/data-import-2.png "Applying column definitions.")
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> - Set the first column as "Name" and the second column as "URL".
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> ![Upload the data](./images/data-import-3.png "Upload the data")
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> ![Uploading the data.](./images/data-import-3.png "Uploading the data.")
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> - Click "Apply" and then "Upload".
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>
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>
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> 3. Create a paired collection named `Raw reads`, rename your pairs with the sample name
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> - Create a paired collection named `Raw reads`, rename your pairs with the sample name
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>
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> {% snippet faqs/galaxy/collections_build_list_paired.md %}
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>
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> {: .hands_on}
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{: .comment}
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> <question-title></question-title>
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> <question-title>Contig metrics</question-title>
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>
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> 1. How many contigs has been for ERR2231568 sample?
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> 2. And for ERR2231572?
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{: .question}
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> <details-title>Co-assembly with MetaSPAdes</details-title>
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> MetaSPAdes supports co-assembly by passing a list of paired-end read files. MEGAHIT, on the other hand, requires concatenating that list of paired-end read files into a single pair of forward and reverse files.
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>
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> > <hands-on-title>Assembly with MetaSPAdes</hands-on-title>
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> >
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> > 1. {% tool [MetaSPAdes](toolshed.g2.bx.psu.edu/repos/nml/metaspades/metaspades/4.2.0+galaxy0) %} with following parameters
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> > - *"Pair-end reads input format"*: `Paired-end: list of dataset pairs`
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> > - {% icon param-collection %} *"FASTQ file(s): collection"*: `Raw reads`
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> > - *"Select k-mer detection option"*: `User specific`
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> > - *"K-mer size values"*: `21,33,55,77`
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> {: .hands_on}
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> 1. {% tool [MetaSPAdes](toolshed.g2.bx.psu.edu/repos/nml/metaspades/metaspades/4.2.0+galaxy0) %} with following parameters
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> - *"Pair-end reads input format"*: `Paired-end: list of dataset pairs`
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> - {% icon param-collection %} *"FASTQ file(s): collection"*: `Raw reads`
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> - *"Select k-mer detection option"*: `User specific`
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> - *"K-mer size values"*: `21,33,55,77`
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{: .details}
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# Quality control of assembly
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> - *"Type of assembly"*: `Metagenome`
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> - *"Output files"*: `HTML report`, `PDF report`, `Tabular reports`, `Log file`, `Key metric summary (metagenome mode)`, `Krona charts (metagenome mode without reference genomes)`
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>
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> 2. Inspect the HTML reports
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> 2. Inspect the HTML reports:
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> ![Screenshot of QUAST HTML report](./images/quast_html_report.png)s
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{: .hands_on}
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> <comment-title></comment-title>
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>
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> Open the Contig size viewer for ERR2231568 and define start as `0` and end as `500000`
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>
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> ![Image shows on the Icarus Contig size viewer for ERR2231568, with a zoom between 0 500000. Below the menu, the contigs are drawn from the longest on the left to the shortest on the right. Each contig is filled with a different color: green for correct, red for misassembled, etc. Below the contigs is dispayed a bar to navigate through the contigs](./images/ERR2231568-contig-size-viewer.png)
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> ![Image shows on the Icarus Contig Size Viewer for ERR2231568, with a zoom between 0 500000. Below the menu, the contigs are drawn from the longest on the left to the shortest on the right. Each contig is filled with a different color: green for correct, red for misassembled, etc. Below the contigs is dispayed a bar to navigate through the contigs](./images/ERR2231568-contig-size-viewer.png)
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>
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> 1. What is the color of the first contig? Why?
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> 2. What is the red contig?

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