LabKey Server

From Infogalactic: the planetary knowledge core
Jump to: navigation, search
LabKey Server
Developer(s) LabKey Software Foundation
Stable release 14.2[1] / June 14, 2014; 10 years ago (2014-06-14)
Development status Active
Written in Java
Operating system Cross-platform
License Apache License 2.0
Website http://www.labkey.org

LabKey Server is free, open source software available for scientists to integrate, analyze, and share biomedical research data. The platform provides a secure data repository that allows web-based querying, reporting, and collaborating across a range of data sources. Specific scientific applications and workflows can be added on top of the basic platform and leverage a data processing pipeline.

License

The LabKey Software Foundation licenses LabKey Server and its documentation for free under the Apache License.[2]

Languages and extensibility

The base platform is written in Java. It can be extended through the addition of Java-based modules or simple, file-based modules written in HTML, XML and JavaScript.[3] The platform can also be extended using LabKey Server's Java, JavaScript, R, Python, Perl and SAS client libraries.[4]

History

LabKey Server was spun out of the Computational Proteomics Lab at the Fred Hutchinson Cancer Research Center after contributors realized that the software could be beneficial to the broader scientific community. The software was originally called the Computational Proteomics Analysis System (CPAS).[5][6][7]

Features

LabKey Server provides a secure data repository for all types of biomedical data, including mass spectrometry, flow cytometry, microarray, microplate, ELISpot, ELISA, NAb and observational study information. A customizable data processing pipeline allows the upload and processing of the large data files common in biomedical research.

The platform also provides domain-specific support for several areas of research, including:

  • Observational Studies. Supports management of longitudinal, large-scale studies of participants, subjects or animals over time. Allows the integration of clinical data with assay results.
  • Proteomics. Allows the processing of high-throughput mass spectrometry data using tools such as the X! Tandem search engine, the Trans-Proteomic Pipeline, Mascot and Sequest. Certified as "Silver-Level Compliant Data Service" with the caBIG standard.
  • Flow Cytometry. Supports automated quality control, centralized data management and web-based data sharing. Integrates with FlowJo.

Users

Users range from individual labs to large research consortia. Current users include:[8]

Publications

  • Lua error in package.lua at line 80: module 'strict' not found.
  • Lua error in package.lua at line 80: module 'strict' not found.
  • Lua error in package.lua at line 80: module 'strict' not found.
  • Lua error in package.lua at line 80: module 'strict' not found.

References

  1. Lua error in package.lua at line 80: module 'strict' not found.
  2. Lua error in package.lua at line 80: module 'strict' not found.
  3. Lua error in package.lua at line 80: module 'strict' not found.
  4. Lua error in package.lua at line 80: module 'strict' not found.
  5. Lua error in package.lua at line 80: module 'strict' not found.
  6. http://www.fhcrc.org/content/public/en/news/center-news/2005/03/wizards-computational-science.html
  7. Lua error in package.lua at line 80: module 'strict' not found.
  8. Lua error in package.lua at line 80: module 'strict' not found.

External links