![]() ![]() 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.I am wondering if I could get some help to fix the problem. I downloaded and installed Proteowizard, Bumbershoot and IDpicker into my PC (Windows 10), both Proteowizard and IDpicker work fine, but when I click the Bumberdash Application file, it does not run and there is no response (Screenshot attached below). If you're comfortable with R, try: - IDPicker will work well with MSGF+ output. There's SearchGUI, but it uses (directly or indirectly) MGF spectrum input which IDPicker may or may not work with, so you could try PeptideShaker instead of IDPicker. There's FragPipe to run MSFragger, but note that it's a bit of effort to get it up and running. It's pretty obsolete and unmaintained.Īlthough I am hard pressed to recommend a replacement I'd like to hear from other users what GUI they use these days. How did you install Bumberdash? I don't think we are providing a download for that. To: Liu, Qinfeng (Sarah) Re: help for bumbershootīumberdash is the old Bumbershoot GUI for running various database search engines. Is it okay if I get your number so I could talk to you? I will try to research the pipeline you mentioned, hopefully I can make it work. I got a small grant for using mass spec to study COVID-19 protein epitopes, the software installed in my very old computer (you helped me 10 years ago) cannot process the much bigger data generated from orbitrap (it still works well for lcq and ltq □) so I have to move to a new computer which is very challenging for me. I am so happy that you get my message and kindly answer it □! You can tell I am way behind the frontier.
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