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Add some last documentation
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2e925e5b11
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3 changed files with 54 additions and 14 deletions
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@ -18,7 +18,7 @@ process {
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publishDir = [
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path: { "${params.outdir}/fastqc/raw" },
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mode: params.publish_dir_mode,
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pattern: '*.html'
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pattern: '*.{html,zip}'
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]
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}
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@ -28,7 +28,7 @@ process {
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publishDir = [
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path: { "${params.outdir}/fastqc/processed" },
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mode: params.publish_dir_mode,
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pattern: '*.html'
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pattern: '*.{html,zip}'
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]
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}
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@ -37,7 +37,7 @@ process {
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publishDir = [
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path: { "${params.outdir}/falco/raw" },
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mode: params.publish_dir_mode,
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pattern: '*.{html,txt}'
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pattern: '*.{html,txt,zip}'
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]
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}
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@ -46,7 +46,7 @@ process {
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publishDir = [
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path: { "${params.outdir}/falco/processed" },
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mode: params.publish_dir_mode,
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pattern: '*.{html,txt}'
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pattern: '*.{html,txt,zip}'
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]
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}
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@ -354,7 +354,7 @@ process {
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publishDir = [
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path: { "${params.outdir}/kraken2/${meta.db_name}/" },
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mode: params.publish_dir_mode,
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pattern: '*.{txt,report,fastq.gz}'
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pattern: '*.{txt,fastq.gz}'
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]
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}
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@ -393,7 +393,7 @@ process {
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publishDir = [
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path: { "${params.outdir}/krakenuniq/${meta.db_name}/" },
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mode: params.publish_dir_mode,
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pattern: '*.{txt,report,fastq.gz}'
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pattern: '*.{txt,fastq.gz}'
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]
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}
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@ -13,7 +13,7 @@ The directories listed below will be created in the results directory after the
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The pipeline is built using [Nextflow](https://www.nextflow.io/) and processes data using the following steps:
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- [FastQC](#fastqc) - Raw read QC
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- [falco](#falco) - Alternative to FastQC for raw read QC
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- [falco](#fastqc) - Alternative to FastQC for raw read QC
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- [fastp](#fastp) - Adapter trimming for Illumina data
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- [AdapterRemoval](#adapterremoval) - Adapter trimming for Illumina data
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- [Porechop](#porechop) - Adapter removal for Oxford Nanopore data
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@ -22,7 +22,9 @@ The pipeline is built using [Nextflow](https://www.nextflow.io/) and processes d
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- [Filtlong](#filtlong) - Quality trimming and filtering for Nanopore data
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- [Bowtie2](#bowtie2) - Host removal for Illumina reads
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- [minimap2](#minimap2) - Host removal for Nanopore reads
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- [samtoolsstats](#samtoolsstats) - Statistics from host removal
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- [SAMtools stats](#samtoolsstats) - Statistics from host removal
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- [SAMtools view](#samtoolsview) - Views and converts the alignment file
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- [SAMtools bam2fq](#samtoolsbam2fq) - Converts the alignment file in fastq format
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- [Bracken](#bracken) - Taxonomic classifier using k-mers and abundance estimations
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- [Kraken2](#kraken2) - Taxonomic classifier using exact k-mer matches
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- [KrakenUniq](#krakenuniq) - Taxonomic classifier that combines the k-mer-based classification and the number of unique k-mers found in each species
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@ -35,7 +37,7 @@ The pipeline is built using [Nextflow](https://www.nextflow.io/) and processes d
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- [MultiQC](#multiqc) - Aggregate report describing results and QC from the whole pipeline
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- [Pipeline information](#pipeline-information) - Report metrics generated during the workflow execution
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### FastQC
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### FastQC or falco
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<details markdown="1">
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<summary>Output files</summary>
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@ -48,6 +50,8 @@ The pipeline is built using [Nextflow](https://www.nextflow.io/) and processes d
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[FastQC](http://www.bioinformatics.babraham.ac.uk/projects/fastqc/) gives general quality metrics about your sequenced reads. It provides information about the quality score distribution across your reads, per base sequence content (%A/T/G/C), adapter contamination and overrepresented sequences. For further reading and documentation see the [FastQC help pages](http://www.bioinformatics.babraham.ac.uk/projects/fastqc/Help/).
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> ℹ️ Falco produces identical output to FastQC but in the `falco/` directory.
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![MultiQC - FastQC sequence counts plot](images/mqc_fastqc_counts.png)
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![MultiQC - FastQC mean quality scores plot](images/mqc_fastqc_quality.png)
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@ -68,6 +72,7 @@ It is used in nf-core/taxprofiler for adapter trimming of short-reads.
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- `fastp`
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- `<sample_id>.fastp.fastq.gz`: File with the trimmed unmerged fastq reads.
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- `<sample_id>.merged.fastq.gz`: File with the reads that were successfully merged.
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- `<sample_id>.*{log,html,json}`: Log files in different formats.
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</details>
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@ -213,15 +218,39 @@ By default, nf-core taxprofiler will only provide the `.bam` file if host remova
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> ℹ️ minimap2 is not yet supported as a module in MultiQC and therefore there is no dedicated section in the MultiQC HTML. Rather, alignment statistics to host genome is reported via samtools stats module in MultiQC report.
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### Samtools stats
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### SAMtools view
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[Samtools stats](http://www.htslib.org/doc/samtools-stats.html) collects statistics from a `.sam`, `.bam`, or `.cram` alignment file and outputs in a text format.
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[SAMtools view](http://www.htslib.org/doc/samtools-view.html) views and comverts a `.sam`, `.bam`, or `.cram` alignment file.
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<details markdown="1">
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<summary>Output files</summary>
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- `samtoolsstats`
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- `<sample_id>.stats`: File containing samtools stats output
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- `<sample_id>.bam`: Alignment file in BAM format
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</details>
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### SAMtools bam2fq
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[SAMtools bam2fq](http://www.htslib.org/doc/1.1/samtools.html) converts a `.sam`, `.bam`, or `.cram` alignment file to FASTQ format
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<details markdown="1">
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<summary>Output files</summary>
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- `samtoolsstats`
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- `<sample_id>.fq.zg`: Alignment file in FASTQ gzip format.
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</details>
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### SAMtools stats
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[SAMtools stats](http://www.htslib.org/doc/samtools-stats.html) collects statistics from a `.sam`, `.bam`, or `.cram` alignment file and outputs in a text format.
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<details markdown="1">
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<summary>Output files</summary>
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- `samtoolsstats`
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- `<sample_id>.stats`: File containing samtools stats output.
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</details>
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@ -330,7 +359,7 @@ The most summary file is the `*combined_reports.txt` file which summarises resul
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- `diamond`
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- `<sample_id>.log`: A log file containing stdout information
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- `<sample_id>.sam`: A file in SAM format that contains the aligned reads
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- `<sample_id>*.{blast,xml,txt,daa,sam,tsv,paf,log}`: A file containing alignment information in various formats, or taxonomic information in a text-based format. Exact output depends on user choice.
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</details>
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@ -606,7 +606,18 @@ A detailed description can be found [here](https://github.com/bbuchfink/diamond/
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#### Kaiju custom database
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To build a kaiju database, you need two components: a FASTA file with the protein sequences (the headers are the numeric NCBI taxon identifiers of the protein sequences), and you need to define the uppercase characters of the standard 20 amino acids you wish to include.
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To build a kaiju database, you need three components: a FASTA file with the protein sequences ,the NCBI taxonomy dump files, and you need to define the uppercase characters of the standard 20 amino acids you wish to include.
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> ⚠️ The headers of the protein fasta file must be numeric NCBI taxon identifiers of the protein sequences.
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To download the NCBI taxonomy files, please run the following commands:
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```bash
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wget https://ftp.ncbi.nlm.nih.gov/pub/taxonomy/new_taxdump/new_taxdump.zip
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unzip new_taxdump.zip
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```
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To build the database, run the following command (the contents of taxdump must be in the same location where you run the command):
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```bash
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kaiju-mkbwt -a ACDEFGHIKLMNPQRSTVWY -o proteins proteins.faa
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