Literature DB >> 22161569

Installation and use of LabKey Server for proteomics.

Joshua Eckels1, Peter Hussey, Elizabeth K Nelson, Tamra Myers, Adam Rauch, Matthew Bellew, Brian Connolly, Wendy Law, Jimmy K Eng, Jonathan Katz, Martin McIntosh, Parag Mallick, Mark Igra.   

Abstract

LabKey Server (formerly CPAS, the Computational Proteomics Analysis System) provides a Web-based platform for mining data from liquid chromatography-tandem mass spectrometry (LC-MS/MS) proteomic experiments. This open source platform supports systematic proteomic analyses and secure data management, integration, and sharing. LabKey Server incorporates several tools currently used in proteomic analysis, including the X! Tandem search engine, the ProteoWizard toolkit, and the PeptideProphet and ProteinProphet data mining tools. These tools and others are integrated into LabKey Server, which provides an extensible architecture for developing high-throughput biological applications. The LabKey Server analysis pipeline acts on data in standardized file formats, so that researchers may use LabKey Server with other search engines, including Mascot or SEQUEST, that follow a standardized format for reporting search engine results. Supported builds of LabKey Server are freely available at http://www.labkey.com/. Documentation and source code are available under the Apache License 2.0 at http://www.labkey.org.
© 2011 by John Wiley & Sons, Inc.

Mesh:

Year:  2011        PMID: 22161569     DOI: 10.1002/0471250953.bi1305s36

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  2 in total

1.  A matching algorithm with isotope distribution pattern in LC-MS based on support vector machine (SVM) learning model.

Authors:  Jian Cui; Qiang Chen; Xiaorui Dong; Kai Shang; Xin Qi; Hao Cui
Journal:  RSC Adv       Date:  2019-09-04       Impact factor: 4.036

2.  Quality control, analysis and secure sharing of Luminex® immunoassay data using the open source LabKey Server platform.

Authors:  Josh Eckels; Cory Nathe; Elizabeth K Nelson; Sara G Shoemaker; Elizabeth Van Nostrand; Nicole L Yates; Vicki C Ashley; Linda J Harris; Mark Bollenbeck; Youyi Fong; Georgia D Tomaras; Britt Piehler
Journal:  BMC Bioinformatics       Date:  2013-04-30       Impact factor: 3.169

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.