LabKey server

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LabKey server
Basic data

Maintainer LabKey
Current  version 17.1
(March 16, 2017)
operating system Unixoide , mac OS X , Microsoft Windows
programming language Java
category Bioinformatics
License Apache License 2.0
labkey.org

The LabKey server is free and open source software for integrating, analyzing and sharing biomedical data. The LabKey server was developed under the name Computational Proteomics Analysis System (CPAS) at the Fred Hutchinson Cancer Research Center to handle the large amounts of data that arise there. A team wanted to make the software available to other scientific users and founded LabKey Software as a spin-off. With the LabKey server, data can be saved and queried web-based. Data can be imported from various databases ( PostgreSQL , Microsoft SQL Server , Oracle , MySQL ) and, for example, Microsoft Excel . In particular, there is support for data from the areas of mass spectrometry , flow cytometry , DNA chip technology , microtiter plate , ELISPOT , enzyme-linked immunosorbent assay and observational studies . The LabKey server offers a platform to create projects based on data in a kind of web interface. Project pages can be used for data integration, analysis or visualization, for a wiki, for reports and other purposes and enable a workflow. Projects can be shared with other people with different public attitudes.

The LabKey server was written in Java . Java-based modules, but also extensions written in XML , HTML or JavaScript , can be used. In addition, Java as well as R , Python , Perl , SAS and JavaScript can be integrated. Also, SQL can be used for queries.

LabKey and Professor Dave O'Connor from the University of Wisconsin – Madison launched the Zika Open Research Portal in 2016 , using the LabKey server. The portal enables access to data from the Zika Experimental Science Team (ZEST) and is the first platform to share research data in real time .

literature

  • Elizabeth K. Nelson et al. a .: LabKey Server: An open source platform for scientific data integration, analysis and collaboration . In: BMC Bioinformatics . tape 11 . BioMed Central, 2011, p. 71 , PMC 3062597 (free full text).

Web links

Individual evidence

  1. Nicholas Shulman et al. a .: Development of an automated analysis system for data from flow cytometric intracellular cytokine staining assays from clinical vaccine trials . In: Cytometry . 73a, no. 9 , 2008, p. 847-856 , doi : 10.1002 / cyto.a.20600 .
  2. Declan Butler: Zika researchers release real-time data on viral infection study in monkeys. In: Nature. Macmillan Publishers Ltd., February 23, 2016, accessed April 3, 2017 .