nf-core/transcriptclean is a bioinformatics pipeline that...
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Complete this sentence with a 2-3 sentence summary of what types of data the pipeline ingests, a brief overview of the
major pipeline sections and the types of output it produces. You're giving an overview to someone new
to nf-core here, in 15-20 seconds. For an example, see https://github.com/nf-core/rnaseq/blob/master/README.md#introduction
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workflows use the "tube map" design for that. See https://nf-co.re/docs/contributing/design_guidelines#examples for examples. -->
[!NOTE] If you are new to Nextflow and nf-core, please refer to this page on how to set-up Nextflow. Make sure to test your setup with
-profile testbefore running the workflow on actual data.
<!-- TODO nf-core: Describe the minimum required steps to execute the pipeline, e.g. how to prepare samplesheets.
Explain what rows and columns represent. For instance (please edit as appropriate):
First, prepare a samplesheet with your input data that looks as follows:
`samplesheet.csv`:
```csv
sample,fastq_1,fastq_2
CONTROL_REP1,AEG588A1_S1_L002_R1_001.fastq.gz,AEG588A1_S1_L002_R2_001.fastq.gz
```
Each row represents a fastq file (single-end) or a pair of fastq files (paired end).
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Now, you can run the pipeline using:
nextflow run nf-core/transcriptclean \
-profile <docker/singularity/.../institute> \
--input samplesheet.csv \
--outdir <OUTDIR>[!WARNING] Please provide pipeline parameters via the CLI or Nextflow
-params-fileoption. Custom config files including those provided by the-cNextflow option can be used to provide any configuration except for parameters; see docs.
For more details and further functionality, please refer to the usage documentation and the parameter documentation.
To see the results of an example test run with a full size dataset refer to the results tab on the nf-core website pipeline page. For more details about the output files and reports, please refer to the output documentation.
nf-core/transcriptclean was originally written by Bárbara Borges.
We thank the following people for their extensive assistance in the development of this pipeline:
If you would like to contribute to this pipeline, please see the contributing guidelines.
For further information or help, don't hesitate to get in touch on the Slack #transcriptclean channel (you can join with this invite).
An extensive list of references for the tools used by the pipeline can be found in the 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.