taxprofiler/README.md

# ![nf-core/taxprofiler](docs/images/nf-core-taxprofiler_logo_custom_light.png#gh-light-mode-only) ![nf-core/taxprofiler](docs/images/nf-core-taxprofiler_logo_custom_dark.png#gh-dark-mode-only)

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## Introduction

**nf-core/taxprofiler** is a bioinformatics best-practice analysis pipeline for taxonomic classification and profiling of shotgun and long-read metagenomic data. It allows for in-parallel taxonomic identification of reads or taxonomic abundance estimation with multiple classification and profiling tools against multiple databases, produces standardised output tables.

## Pipeline summary

![](docs/images/taxprofiler_tube.png)

1. Read QC ([`FastQC`](https://www.bioinformatics.babraham.ac.uk/projects/fastqc/) or [`falco`](https://github.com/smithlabcode/falco) as an alternative option)
2. Performs optional read pre-processing
   - Adapter clipping and merging (short-read: [fastp](https://github.com/OpenGene/fastp), [AdapterRemoval2](https://github.com/MikkelSchubert/adapterremoval); long-read: [porechop](https://github.com/rrwick/Porechop))
   - Low complexity and quality filtering (short-read: [bbduk](https://jgi.doe.gov/data-and-tools/software-tools/bbtools/), [PRINSEQ++](https://github.com/Adrian-Cantu/PRINSEQ-plus-plus); long-read: [Filtlong](https://github.com/rrwick/Filtlong))
   - Host-read removal (short-read: [BowTie2](http://bowtie-bio.sourceforge.net/bowtie2/); long-read: [Minimap2](https://github.com/lh3/minimap2))
   - Run merging
3. Supports statistics for host-read removal ([Samtools](http://www.htslib.org/))
4. Performs taxonomic classification and/or profiling using one or more of:
   - [Kraken2](https://ccb.jhu.edu/software/kraken2/)
   - [MetaPhlAn3](https://huttenhower.sph.harvard.edu/metaphlan/)
   - [MALT](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/algorithms-in-bioinformatics/software/malt/)
   - [DIAMOND](https://github.com/bbuchfink/diamond)
   - [Centrifuge](https://ccb.jhu.edu/software/centrifuge/)
   - [Kaiju](https://kaiju.binf.ku.dk/)
   - [mOTUs](https://motu-tool.org/)
   - [KrakenUniq](https://github.com/fbreitwieser/krakenuniq)
5. Perform optional post-processing with:
   - [bracken](https://ccb.jhu.edu/software/bracken/)
6. Standardises output tables ([`Taxpasta`](https://taxpasta.readthedocs.io))
7. Present QC for raw reads ([`MultiQC`](http://multiqc.info/))
8. Plotting Kraken2, Centrifuge, Kaiju and MALT results ([`Krona`](https://hpc.nih.gov/apps/kronatools.html))

## Usage

> **Note**
> If you are new to Nextflow and nf-core, please refer to [this page](https://nf-co.re/docs/usage/installation) on how
> to set-up Nextflow. Make sure to [test your setup](https://nf-co.re/docs/usage/introduction#how-to-run-a-pipeline)
> with `-profile test` before running the workflow on actual data.

First, prepare a samplesheet with your input data that looks as follows:

`samplesheet.csv`:

```csv
sample,run_accession,instrument_platform,fastq_1,fastq_2,fasta
2612,run1,ILLUMINA,2612_run1_R1.fq.gz,,
2612,run2,ILLUMINA,2612_run2_R1.fq.gz,,
2612,run3,ILLUMINA,2612_run3_R1.fq.gz,2612_run3_R2.fq.gz,
```

Each row represents a fastq file (single-end), a pair of fastq files (paired end), or a fasta (with long reads).

Additionally, you will need a database sheet that looks as follows:

`databases.csv`:

```
tool,db_name,db_params,db_path
kraken2,db2,--quick,/<path>/<to>/kraken2/testdb-kraken2.tar.gz
metaphlan3,db1,,/<path>/<to>/metaphlan3/metaphlan_database/
```

That includes directories or `.tar.gz` archives containing databases for the tools you wish to run the pipeline against.

Now, you can run the pipeline using:

```bash
nextflow run nf-core/taxprofiler \
   -profile <docker/singularity/.../institute> \
   --input samplesheet.csv \
   --databases databases.csv \
   --outdir <OUTDIR>  \
   --run_kraken2 --run_metaphlan3
```

> **Warning:**
> Please provide pipeline parameters via the CLI (as above) or Nextflow `-params-file` option. Custom config files including those
> provided by the `-c` Nextflow option can be used to provide any configuration _**except for parameters**_;
> see [docs](https://nf-co.re/usage/configuration#custom-configuration-files).

For more details, please refer to the [usage documentation](https://nf-co.re/taxprofiler/usage) and the [parameter documentation](https://nf-co.re/taxprofiler/parameters).

## Pipeline output

To see the results of a test run with a full size dataset refer to the [results](https://nf-co.re/taxprofiler/results) tab on the nf-core website pipeline page.
For more details about the output files and reports, please refer to the
[output documentation](https://nf-co.re/taxprofiler/output).

## Credits

nf-core/taxprofiler was originally written by James A. Fellows Yates, Sofia Stamouli, Moritz E. Beber, and the nf-core/taxprofiler team.

### Team

- [James A. Fellows Yates](https://github.com/jfy133)
- [Sofia Stamouli](https://github.com/sofstam)
- [Moritz E. Beber](https://github.com/Midnighter)

We thank the following people for their contributions to the development of this pipeline:

- [Lauri Mesilaakso](https://github.com/ljmesi)
- [Tanja Normark](https://github.com/talnor)
- [Maxime Borry](https://github.com/maxibor)
- [Thomas A. Christensen II](https://github.com/MillironX)
- [Jianhong Ou](https://github.com/jianhong)
- [Rafal Stepien](https://github.com/rafalstepien)
- [Mahwash Jamy](https://github.com/mjamy)

### Acknowledgments

We also are grateful for the feedback and comments from:

- The general [nf-core/community](https://nf-co.re/community)

And specifically to

- [Alex Hübner](https://github.com/alexhbnr)
- [Lily Andersson Lee](https://github.com/LilyAnderssonLee)

❤️ also goes to [Zandra Fagernäs](https://github.com/ZandraFagernas) for the logo.

## Contributions and Support

If you would like to contribute to this pipeline, please see the [contributing guidelines](.github/CONTRIBUTING.md).

For further information or help, don't hesitate to get in touch on the [Slack `#taxprofiler` channel](https://nfcore.slack.com/channels/taxprofiler) (you can join with [this invite](https://nf-co.re/join/slack)).

## Citations

If you use nf-core/taxprofiler for your analysis, please cite it using the following doi: [10.5281/zenodo.7728364](https://doi.org/10.5281/zenodo.7728364)

An extensive list of references for the tools used by the pipeline can be found in the [`CITATIONS.md`](CITATIONS.md) file.

You can cite the `nf-core` publication as follows:

> **The nf-core framework for community-curated bioinformatics pipelines.**
>
> Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.
>
> _Nat Biotechnol._ 2020 Feb 13. doi: [10.1038/s41587-020-0439-x](https://dx.doi.org/10.1038/s41587-020-0439-x).