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Panorama was developed with the following goals for targeted proteomics investigation:

  • Help labs aggregate curated results
  • Store the complete Skyline document data model
  • Use previous experiments to inform new experiments
  • Make it easy to search and review a large body of experiments
  • Facilitate sharing results
  • Keep private data secure

Panorama was designed to integrate with existing Skyline workflows.  Users can publish their documents to a Panorama server directly from Skyline.  Data on the server can be organized in folders, and users can take advantage of LabKey Server's fine-grained permission controls to securely share data with collaborators, or make it publicly available.  You can browse through some of the example experiments below to explore the Panorama UI for published Skyline documents. 

PanoramaWeb is a public Panorama server hosted at the University of Washington where laboratories and organizations can own free projects.  You can request a project on this server to find out what Panorama has to offer, without having to set up and maintain your own LabKey Server.  You will be able to explore all the available features in Panorama, and be given administrative rights to your project so that you can set up folders and configure permissions.  The LabKey Server security infrastructure will allow you to keep your data as private as you want or release it publicly when you are ready.

Panorama can also be installed by laboratories and organizations on their own servers.  Look at Install Panorama to get started. 

Events

Skyline User Group Meeting Online before ASMS 2020
Review the presentations

Skyline User Group Meeting at ASMS 2019
Review the presentations

Skyline User Group Meeting at ASMS 2018
Review the presentations

Skyline User Group Meeting at ASMS 2017
Review the presentations

Skyline User Group Meeting at ASMS 2016
Review the presentations

Recently Published

Panorama Public: A public repository for quantitative data sets processed in Skyline Vagisha Sharma, Josh Eckels, Birgit Schilling, Christina Ludwig, Jacob D. Jaffe, Michael J. MacCoss and Brendan MacLean. Molecular and Cellular Proteomics. 2018
[abstract] [pdf]

An Automated Pipeline to Monitor System Performance in Liquid Chromatography Tandem Mass Spectrometry Proteomic Experiments Michael S. Bereman, Joshua Beri, Vagisha Sharma, Cory Nathe, Josh Eckels, Brendan MacLean, Michael J. MacCoss. Journal of Proteome Research. 2016
[abstract] [pdf]

Panorama Public: ProteomeXchange and Cloud Storage Integration. Sharma V, Connolly B, Eckels J, Bradlee D, Omaiye A, MacCoss MJ, MacLean B. ASMS Poster. 2019
[pdf]

Customizable quality control metrics and notifications with Panorama, AutoQC, and Skyline. Eckels J, Sharma V, Pradere M, Juneja A, Omaiye A, Nathe C, Jewargikar S, MacCoss MJ, MacLean B. ASMS Poster. 2019
[pdf]

Audit Logs to enforce document integrity in Skyline and Panorama. Rhode T, Chupalov R, Shulman N, Sharma V, Eckels J, Pratt BS, MacCoss MJ, MacLean B. ASMS Poster. 2019
[pdf]

Managing Small Molecule Targeted Mass Spec Assays using Skyline and Panorama. Eckels J, Sharma V, Pratt B, Dunkley T, Wildsmith K, Anania V, Li Q, Nathe C, Patel B, MacCoss MJ, MacLean B. ASMS Poster. 2016
[pdf]

More Publications

Skyline
Learn more about Skyline software for large-scale proteomics studies.

LabKey Server
Learn more about LabKey Server: Data management software built with scientists, for scientists.