#Decoy database format peptideshaker install#
#Decoy database format peptideshaker full size#
#Decoy database format peptideshaker free#

To combine Mascot results with your results from SearchGUI you therefore have to use the same target-decoy database as the one used in the SearchGUI search and not select the decoy option when performing the Mascot search. When combining results from different search engines it is important that the database and decoys used are identical, something that cannot be guaranteed when using the random approach. The reason for this is that Mascot uses a random decoy approach and not a reverse decoy approach. Mascot's Automatic Decoy Search is not compatible with PeptideShaker. Make sure that the spectra are available in the mgf format where every spectrum should have a unique title. PeptideShaker supports the import of data from Mascot dat files. To add user defined modifications see User Defined Modifications in SearchGUI.įor help on obtaining a valid sequence database see the Database Help. Importing output from SearchGUI is especially simple in PeptideShaker as the parameters and files used for the search is easily available. SearchGUI is a user-friendly, lightweight and open-source graphical user interface for configuring and running proteomics identification search engines, namely X!Tandem, MS-GF+, MS Amanda, MyriMatch, Comet, Tide, Andromeda and OMSSA. PeptideShaker has a strong connection to the SearchGUI project. Quay.io/biocontainers/peptide-shaker:X.Y.Z-1 PeptideShaker is available as a Miniconda package in the bioconda channel here.ĭocker run -v /home/my_user/resources:/myresources 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.

#Decoy database format peptideshaker install#

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, 1.7 or newer is recommend. It should be possible to run PeptideShaker on almost any computer where Java 1.6 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.

#Decoy database format peptideshaker free#

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: By combining the results from multiple search engines, while re-calculating PTM localization scores and redoing the protein inference, PeptideShaker attempts to give you the best possible understanding of your proteomics data! PeptideShaker is a search engine independent platform for interpretation of proteomics identification results from multiple search engines, currently supporting X!Tandem, MS-GF+, MS Amanda, OMSSA, MyriMatch, Comet, Tide, Mascot, Andromeda and mzIdentML.

#Decoy database format peptideshaker full size#

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If you use PeptideShaker as part of a publication, please include this reference.