PeptideShaker has a strong connection to the SearchGUI project. Quay.io/biocontainers/peptide-shaker:X.Y.Z-1 In case you need to use your own files, you will need to map (using -v Docker parameter) your local folders containing them into the Docker internal file system, like docker run -v /home/my_user/resources:/myresources Replace X.Y.Z with the wanted PeptideShaker version number. You can make use of the container via: docker run quay.io/biocontainers/peptide-shaker:X.Y.Z-1 peptide-shaker eu. You can install PeptideShaker with: conda install -c conda-forge -c bioconda peptide-shakerĪ Docker container is available via the biocontainers project. PeptideShaker is available as a Miniconda package in the bioconda channel here. PeptideShaker can also be used via the command line, and be incorporated in different analysis pipelines.įor details about the command line see: PeptideShakerCLI. A graphical user interface is the best choice for smaller projects. The main purpose of PeptideShaker is to make it simpler to process and display the results of multiple search engines. The minimum screen resolution for PeptideShaker is 1280 x 800, but it is highly recommended to use at least 1680 x 1050. Note that in order to use more than 1500 MB of memory you need to install the 64 bit version of Java. If parsing big datasets even more memory is required: the bigger the dataset the more memory you need. However to get the best out of PeptideShaker a newer machine with at least 4 GB of memory is recommended. We recommend always using the latest version of Java. It should be possible to run PeptideShaker on almost any computer where Java 1.8 or newer is installed. To start using PeptideShaker, unzip the downloaded file, and double-click the PeptideShaker-X.Y.Z.jar file. For specific bug reports or issues please use the issues tracker. If you have any questions, suggestions or remarks, feel free to contact us via the Reshake PRIDE: re-analyze public datasets in PRIDE as if they were your own.Īll data can also easily be exported for follow up analysis in other tools.įor further help see the Bioinformatics for Proteomics Tutorial.QC Plots: examine the quality of the results with Quality Control plots.Validation: inspect and fine tune the validation process.GO Enrichment: perform GO enrichment and find enriched GO terms in your dataset.3D Structure: map the detected peptides and modifications onto corresponding PDB structures.Modifications: get a detailed view of the post-translational modifications in the dataset.Fractions: inspect from which fractions proteins and peptides are likely to come from.Spectrum IDs: compare the search engine performance and see how the search engine results are combined.Overview: get a simple yet detailed overview of all the proteins, peptides and PSMs in your dataset.PeptideShaker currently supports nine different analysis tasks: It can be used on local data as well as on data sets deposited to the ProteomeXchange PRIDE repository. PeptideShaker can be used in command line and comes with rich visualization capabilities to navigate the results. PeptideShaker aggregates the results in a single identification set, annotates spectra, computes a consensus score, maps sequences and performs protein inference, scores post-translational modification localization, runs statistical validation, quality control, and annotates the results using multiple sources of information like Gene Ontology, UniProt and Ensembl annotation, and protein structures. PeptideShaker is a search engine independent platform for interpretation of proteomics identification results from multiple search and de novo engines, currently supporting X!Tandem, MS-GF+, MS Amanda, OMSSA, MyriMatch, Comet, Tide, Mascot, Andromeda, MetaMorpheus, Sage, Novor, DirecTag and mzIdentML. (Click on an image to see the full size version) If you use PeptideShaker as part of a publication please include this reference.
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