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**nfcore/nanoseq** is a bioinformatics analysis pipeline that can be used to perform basecalling, demultiplexing, mapping and QC of Nanopore data.
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**nfcore/nanoseq** is a bioinformatics analysis pipeline that can be used to perform basecalling, demultiplexing, mapping and QC of Nanopore DNA/RNA sequencing data.
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The pipeline is built using [Nextflow](https://www.nextflow.io), a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It comes with docker containers making installation trivial and results highly reproducible.
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3. Raw read QC ([`NanoPlot`](https://github.com/wdecoster/NanoPlot), [`FastQC`](http://www.bioinformatics.babraham.ac.uk/projects/fastqc/))
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4. Alignment ([`GraphMap2`](https://github.com/lbcb-sci/graphmap2) or [`minimap2`](https://github.com/lh3/minimap2))
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* Both aligners are capable of performing unspliced and spliced alignment. Sensible defaults will be applied automatically based on a combination of the input data and user-specified parameters
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* Each sample can be mapped to its own reference genome if multiplexed in this way
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* Convert SAM to co-ordinate sorted BAM and obtain mapping metrics ([`SAMtools`](http://www.htslib.org/doc/samtools.html))
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5. Create bigWig ([`BEDTools`](https://github.com/arq5x/bedtools2/), [`bedGraphToBigWig`](http://hgdownload.soe.ucsc.edu/admin/exe/)) and bigBed ([`BEDTools`](https://github.com/arq5x/bedtools2/), [`bedToBigBed`](http://hgdownload.soe.ucsc.edu/admin/exe/)) coverage tracks for visualisation
@@ -37,7 +36,7 @@ iii. Download the pipeline and test it on a minimal dataset with a single comman
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nextflow run nf-core/nanoseq -profile test,<docker/singularity/institute>
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```
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> Please check [nf-core/configs](https://github.com/nf-core/configs#documentation) to see if a custom config file to run nf-core pipelines already exists for your Institute. If so, you can simply use `-profile institute` in your command. This will enable either `docker` or `singularity` and set the appropriate execution settings for your local compute environment.
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> Please check [nf-core/configs](https://github.com/nf-core/configs#documentation) to see if a custom config file to run nf-core pipelines already exists for your Institute. If so, you can simply use `-profile <institute>` in your command. This will enable either `docker` or `singularity` and set the appropriate execution settings for your local compute environment.
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iv. Start running your own analysis!
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-profile <docker/singularity/institute>
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```
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See [usage docs](docs/usage.md) for all of the available options when running the pipeline.
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See [usage docs](docs/usage.md) for all of the available options when running the pipeline. An example input samplesheet for performing both basecalling and demultiplexing can be found [here](assets/samplesheet.csv).
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## Documentation
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## Credits
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nf-core/nanoseq was originally written by [Chelsea Sawyer](https://github.com/csawye01) and [Harshil Patel](https://github.com/drpatelh) from [The Bioinformatics & Biostatistics Group](https://www.crick.ac.uk/research/science-technology-platforms/bioinformatics-and-biostatistics/) for use at [The Francis Crick Institute](https://www.crick.ac.uk/), London. [Laura Wratten](https://github.com/lwratten)from the [Genome Institute of Singapore](https://www.a-star.edu.sg/gis) is one of the primary contributors along with[Johannes Alneberg](https://github.com/alneberg) and [Franziska Bonath](https://github.com/FranBonath) from [SciLifeLab](https://www.scilifelab.se/), Sweden.
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nf-core/nanoseq was originally written by [Chelsea Sawyer](https://github.com/csawye01) and [Harshil Patel](https://github.com/drpatelh) from [The Bioinformatics & Biostatistics Group](https://www.crick.ac.uk/research/science-technology-platforms/bioinformatics-and-biostatistics/) for use at [The Francis Crick Institute](https://www.crick.ac.uk/), London. Other primary contributors include [Laura Wratten](https://github.com/lwratten), [Chen Ying](https://github.com/cying111) and [Jonathan Goeke](https://github.com/jonathangoeke)from the [Genome Institute of Singapore](https://www.a-star.edu.sg/gis),[Johannes Alneberg](https://github.com/alneberg) and [Franziska Bonath](https://github.com/FranBonath) from [SciLifeLab](https://www.scilifelab.se/), Sweden.
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Many thanks to others who have helped out along the way too, including (but not limited to): [@crickbabs](https://github.com/crickbabs), [@AnnaSyme](https://github.com/AnnaSyme).
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## Citation
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<!-- TODO nf-core: Add citation for pipeline after first release. Uncomment lines below and update Zenodo doi. -->
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<!-- If you use nf-core/nanoseq for your analysis, please cite it using the following doi: [10.5281/zenodo.XXXXXX](https://doi.org/10.5281/zenodo.XXXXXX) -->
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<!-- If you use nf-core/nanoseq for your analysis, please cite it using the following doi: [10.5281/zenodo.XXXXXX](https://doi.org/10.5281/zenodo.XXXXXX) -->
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You can cite the `nf-core` publication as follows:
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You can cite the `nf-core` pre-print as follows:
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> Ewels PA, Peltzer A, Fillinger S, Alneberg JA, Patel H, Wilm A, Garcia MU, Di Tommaso P, Nahnsen S. **nf-core: Community curated bioinformatics pipelines**. *bioRxiv*. 2019. p. 610741. [doi: 10.1101/610741](https://www.biorxiv.org/content/10.1101/610741v1).
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> **The nf-core framework for community-curated bioinformatics pipelines.**
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>
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> Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.
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>
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> _Nat Biotechnol._ 2020 Feb 13. doi: [10.1038/s41587-020-0439-x](https://dx.doi.org/10.1038/s41587-020-0439-x).
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