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[](https://github.com/nf-core/proteomicsanalysis/actions/workflows/nf-test.yml)
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[](https://github.com/nf-core/proteomicsanalysis/actions/workflows/linting.yml)[](https://nf-co.re/proteomicsanalysis/results)[](https://doi.org/10.5281/zenodo.XXXXXXX)
[](https://docs.conda.io/en/latest/)
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[](https://docs.conda.io/en/latest/)
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[](https://www.docker.com/)
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[](https://sylabs.io/docs/)
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[](https://cloud.seqera.io/launch?pipeline=https://github.com/nf-core/proteomicsanalysis)
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[](https://nfcore.slack.com/channels/proteomicsanalysis)[](https://bsky.app/profile/nf-co.re)[](https://mstdn.science/@nf_core)[](https://www.youtube.com/c/nf-core)
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[](https://cloud.seqera.io/launch?pipeline=https://github.com/biosustain/dsp_demo_nf_acore_vuegen)
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## Introduction
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@@ -58,9 +48,9 @@ Now, you can run the pipeline using:
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<!-- TODO nf-core: update the following command to include all required parameters for a minimal example -->
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```bash
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nextflow run nf-core/proteomicsanalysis \
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nextflow run biosustain/dsp_demo_nf_acore_vuegen \
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-profile <docker/singularity/.../institute> \
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--input samplesheet.csv \
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--input_csv lfq_data.csv \
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--outdir <OUTDIR>
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```
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## Pipeline output
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To see the results of an example test run with a full size dataset refer to the [results](https://nf-co.re/proteomicsanalysis/results) tab on the nf-core website pipeline page.
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For more details about the output files and reports, please refer to the
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