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Copy file name to clipboardExpand all lines: topics/microbiome/tutorials/metagenomics-assembly/tutorial.md
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Metagenomics involves the extraction, sequencing and analysis of combined genomic DNA from **entire microbiome** samples. It includes then DNA from **many different organisms**, with different taxonomic background.
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Reconstructing the genomes of microorganisms in the sampled communities is critical step in analyzing metagenomic data. To do that, we can use **assembly** and assemblers, *i.e.* computational programs that stich together the small fragments of sequenced DNA produced by sequencing instruments.
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> <hands-on-title>Evaluation assembly quality with metaQUAST</hands-on-title>
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> 1. {% tool [QUAST](toolshed.g2.bx.psu.edu/repos/iuc/quast/quast/5.2.0+galaxy1) %} with parameters:
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> 1. {% tool [QUAST](toolshed.g2.bx.psu.edu/repos/iuc/QUAST/QUAST/5.2.0+galaxy1) %} with parameters:
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> <details-title>Alternative ways to compute coverage</details-title>
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> 2 alternative ways to compute coverage are to
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> There are 2 alternative ways to compute coverage:
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> 1. Use [CoverM](https://github.com/wwood/CoverM), which is available in Galaxy
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> > <hands-on-title>Calculate coverage using CoverM</hands-on-title>
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QUAST identifies missassemblies by mapping the contigs to the reference genomes of the identified organisms. 3 types of misassemblies can be identified:
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1. **Relocation** occur based on signal from two mappings of the same contig against the same chromosome, with 2 cases:
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1. the 2 mappings are separated by an unmapped region of at least 1 kbp
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