:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'fragpipe' .. highlight: bash fragpipe ======== .. conda:recipe:: fragpipe :replaces_section_title: :noindex: Pipeline for comprehensive analysis of shotgun proteomics data :homepage: https://github.com/Nesvilab/FragPipe :license: GPL-3.0 + LICENSE files :recipe: /`fragpipe `_/`meta.yaml `_ :links: biotools: :biotools:`fragpipe`, doi: :doi:`10.1074/mcp.TIR120.002048` FragPipe is a Java Graphical User Interface \(GUI\) for a suite of computational tools enabling comprehensive analysis of mass spectrometry\-based proteomics data. It is powered by MSFragger \- an ultrafast proteomic search engine suitable for both conventional and \"open\" \(wide precursor mass tolerance\) peptide identification. FragPipe includes the Philosopher toolkit for downstream post\-processing of MSFragger search results \(PeptideProphet\, iProphet\, ProteinProphet\)\, FDR filtering\, label\-based quantification\, and multi\-experiment summary report generation. Crystal\-C and PTM\-Shepherd are included to aid interpretation of open search results. Also included in FragPipe binary are TMT\-Integrator for TMT\/iTRAQ isobaric labeling\-based quantification\, IonQuant for label\-free quantification with match\-between\-run \(MBR\) functionality\, spectral library building with EasyPQP\, and MSFragger\-DIA and DIA\-Umpire SE modules for direct analysis of data independent acquisition \(DIA\) data. .. conda:package:: fragpipe |downloads_fragpipe| |docker_fragpipe| :versions: ``20.0-2``,  ``20.0-1``,  ``20.0-0`` :depends easypqp: ``>=0.1.34`` :depends ionquant: ``>=1.10.12`` :depends lxml: :depends msfragger: ``>=4.0`` :depends openjdk: ``>=9`` :depends python: ``3.9.*`` :requirements: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `conda `_) and the Bioconda channel already activated (see :ref:`set-up-channels`). While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see `here `_ for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others. Given that you already have a conda environment in which you want to have this package, install with:: mamba install fragpipe and update with:: mamba update fragpipe To create a new environment, run:: mamba create --name myenvname fragpipe with ``myenvname`` being a reasonable name for the environment (see e.g. the `mamba docs `_ for details and further options). Alternatively, use the docker container:: docker pull quay.io/biocontainers/fragpipe: (see `fragpipe/tags`_ for valid values for ````) .. |downloads_fragpipe| image:: https://img.shields.io/conda/dn/bioconda/fragpipe.svg?style=flat :target: https://anaconda.org/bioconda/fragpipe :alt: (downloads) .. |docker_fragpipe| image:: https://quay.io/repository/biocontainers/fragpipe/status :target: https://quay.io/repository/biocontainers/fragpipe .. _`fragpipe/tags`: https://quay.io/repository/biocontainers/fragpipe?tab=tags .. raw:: html Download stats ----------------- .. raw:: html :file: ../../templates/package_dashboard.html Link to this page ----------------- Render an |install-with-bioconda| badge with the following MarkDown:: [![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/fragpipe/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/fragpipe/README.html