LabKey Server explained
LabKey Server is a software suite 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
LabKey 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, originally known as the Computational Proteomics Analysis System (CPAS), was developed at the Fred Hutchinson Cancer Research Center to manage high volumes of data generated at the Fred Hutch Computational Proteomics Lab. In 2005, a small team spun out of the Hutch and began operating independently as LabKey Software after contributors realized that the software could be beneficial to the broader scientific community.[5] [6] [7]
Core Components
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.
Zika Open Research Portal
In 2016, LabKey and Professor Dave O'Connor of the University of Wisconsin–Madison launched the Zika Open Research Portal http://zika.labkey.com using LabKey Server. The portal provides direct access to experiment data being produced by members of the Zika Experimental Science Team (ZEST). The portal received attention from the scientific community for being the first platform of its kind to share real-time research data.[8] [9]
Open Source Software
Labkey is licensed in a variety of manners. Source-code is provided for a core set of features with the Community Edition, and there are also Premium Editions available.[10]
Users
Users range from individual labs to large research consortia. In 2017, the program's users included the following:[11]
Publications
- 10.1186/1471-2105-12-71. LabKey Server: An open source platform for scientific data integration, analysis and collaboration. 2011. Nelson. Elizabeth K. Piehler. Britt. Eckels. Josh. Rauch. Adam. Bellew. Matthew. Hussey. Peter. Ramsay. Sarah. Nathe. Cory. Lum. Karl. Krouse. Kevin. Stearns. David. Connolly. Brian. Skillman. Tom. Igra. Mark. BMC Bioinformatics. 12. 71. 21385461. 3062597 . free .
- 10.1021/pr0503533. Computational Proteomics Analysis System (CPAS): An Extensible, Open-Source Analytic System for Evaluating and Publishing Proteomic Data and High Throughput Biological Experiments. 2006. Rauch. Adam. Bellew. Matthew. Eng. Jimmy. Fitzgibbon. Matthew. Holzman. Ted. Hussey. Peter. Igra. Mark. MacLean. Brendan. Lin. Chen Wei. Detter. Andrea. Fang. Ruihua. Faca. Vitor. Gafken. Phil. Zhang. Heidi. Whitaker. Jeffrey. States. David. Hanash. Sam. Paulovich. Amanda. McIntosh. Martin W.. Journal of Proteome Research. 5. 112–21. 16396501. 1. 8.
- 10.1002/cyto.a.20600. Development of an automated analysis system for data from flow cytometric intracellular cytokine staining assays from clinical vaccine trials. 2008. Shulman. Nicholas. Bellew. Matthew. Snelling. George. Carter. Donald. Huang. Yunda. Li. Hongli. Self. Steven G.. McElrath. M. Juliana. De Rosa. Stephen C.. Cytometry Part A. 73A. 9. 847–56. 2591089. 18615598.
- Web site: The Best of Both Worlds: Integrating a Java Web Application with SAS Using the SAS/SHARE Driver for JDBC .
External links
Notes and References
- Web site: Release Notes 21.3 (March 2021): /Documentation . labkey.org . 2021-04-13.
- Web site: LabKey Frequently Asked Questions: /home . Labkey.org . 2010-05-29.
- Web site: Building Modules: /home/Documentation . Labkey.org . 2010-05-29.
- Web site: LabKey API: /Documentation . Labkey.org . 2010-05-29.
- Web site: Computational Proteomics Laboratory . Proteomics.fhcrc.org . 2010-05-29 . https://web.archive.org/web/20100616200723/http://proteomics.fhcrc.org/CPL/home.html . 2010-06-16 . dead .
- http://www.fhcrc.org/content/public/en/news/center-news/2005/03/wizards-computational-science.html Wizards computational science.
- Web site: Center News - 1/5/06 - Center, NCI launch open-source software for proteomics analysis . Fhcrc.org . 2006-01-05 . 2010-05-29.
- Zika researchers release real-time data on viral infection study in monkeys . Nature News . 2016-02-23 . 10.1038/nature.2016.19438 . 2016-02-23. Butler . Declan . Nature . 168146966 .
- Web site: Zika Data From the Lab, and Right to the Web . New York Times . 2016-07-18 . 2016-07-18.
- Web site: LabKey Server - Research's Most Flexible Software Platform for Insight.
- Web site: Our Clients | LabKey Software . Labkey.com . 2010-05-29.