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Welcome to, the laboratory, health, and science informatics encyclopedia.
Users have contributed: 1,553 articles.

LIMSwiki is a collaborative wiki dedicated to the scientific community, featuring organized, documented, and up-to-date content regarding all aspects of laboratory informatics, bioinformatics, and health informatics. LIMSwiki also strives to maintain relevant knowledge about laboratory equipment as well as commercial and open-source software likely to be used in a laboratory setting. This also includes the vendors of such equipment and software.

Like any community wiki, the value and success of LIMSwiki is dependent upon the scientific community contributing their vast knowledge through the creation of relevant articles and editing of existing articles where knowledge is absent. If you wish to enrich the content of this wiki or have something of value to add, please request an account and get started.

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Featured article of the week

Fig3 Panahiazar JofBiomedInformatics2017 72-8.jpg

"Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO)"

A crucial and limiting factor in data reuse is the lack of accurate, structured, and complete descriptions of data, known as metadata. Towards improving the quantity and quality of metadata, we propose a novel metadata prediction framework to learn associations from existing metadata that can be used to predict metadata values. We evaluate our framework in the context of experimental metadata from the Gene Expression Omnibus (GEO). We applied four rule mining algorithms to the most common structured metadata elements (sample type, molecular type, platform, label type and organism) from over 1.3 million GEO records. We examined the quality of well supported rules from each algorithm and visualized the dependencies among metadata elements. Finally, we evaluated the performance of the algorithms in terms of accuracy, precision, recall, and F-measure. We found that PART is the best algorithm outperforming Apriori, Predictive Apriori, and Decision Table.

All algorithms perform significantly better in predicting class values than the majority vote classifier. We found that the performance of the algorithms is related to the dimensionality of the GEO elements. (Full article...)

Recently featured:

Rapid development of entity-based data models for bioinformatics with persistence object-oriented design and structured interfaces
Bioinformatics education in pathology training: Current scope and future direction
FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data

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LIMSwiki books
Examples of books printed from Wikipedia

A LIMSwiki book is a collection of LIMSwiki articles that can be easily saved to the wiki, rendered electronically in PDF, or ordered as a printed book. Need to know more about LIMSwiki books?

Laboratory informatics software and products
LIMSwiki journal articles
Open-access articles becoming more common

A LIMSwiki journal article is a selected open-access article relating to various fields of informatics, free to republish elsewhere with proper citation. You can browse the collection using the tools below. Also note that like other articles found on this wiki, journal articles can be added to LIMSwiki books.

For a full listing of journals — open-access and otherwise — relating to laboratory informatics, bioinformatics, and other forms of informatics, please see LIMSWiki:Resources/Journals.

Open-source software

Looking for open-source software solutions to make your lab or office more efficient? Try these locations:

Additional LIMSwiki resources

Additional information
Latest news

April 11, 2017:

New to the wiki today is the guide Past, Present, and Future of Cannabis Laboratory Testing and Regulation in the United States. This guide provides an in-depth discussion of the ever-changing status of laboratory testing and regulation of the cannabis plant in the United States. From the history, regulations, and standards to the chemical properties of cannabis and the laboratory methods used to define them, this Creative Commons-based work covers the social, political, and economic circumstances surrounding the controversial plant. It also looks at the equipment, software, and reporting of testing labs; provides future-looking trends and guidance both nationally and internationally; and offers a full directory of resources associated with cannabis testing and legislation. Enjoy!

Shawn Douglas (talk) 02:00, 11 April 2017 (UTC)

January 3, 2017:

Lab book - Lawrence Berkeley National Laboratory - DSC08822.JPG

2016 had its share of ups and downs for many, and the same holds true for LIMSwiki. From a web attack to dealing with time constraints, it was all about resources, resources, resources. As the wiki has grown over the years, more time has been required for weekly, monthly, quarterly, etc. maintenance tasks. Despite this, however, a few new projects sprung up on the wiki. Though not complete, we made significant headway on a directory (with external links) of U.S. government- and/or self-certified Small Business Administration (SBA) entities offering custom software development and general IT services under government contract. (The idea was those seeking laboratory and scientific informatics implementations could also investigate SBA providers for their service needs.) Developing and adding content for book format was also a goal in 2016, including topics such as medical implants, chemistry, health and biomedical informatics, and web application security, among others. And of course we had smaller updates, such as adding LinkedIn URLs to vendor pages, to go along with long-term maintenance and content addition goals like expanding our open-access journal articles on a weekly basis. Finally, development of a huge education-related project took up a significant portion of the latter part of 2016; details will appear here in the news in the coming month or so.

We hope in 2017 to continue adding useful content while striving to find balance with the increasing number of maintenance tasks. Happy wikiing, and Happy New Year!

Shawn Douglas (talk) 17:43, 3 January 2017 (UTC)

Most popular pages

This section represents most popular pages by page view as of January 2016. You can still find records of our Top 30 listings back to April 2012 on the history page for this template. Simply click on the "prev" link of an edit on that page and scroll down to see the listing as it was for that date.

The most popular pages (by page views) on LIMSwiki as of October 2, 2017 are:

  1. Main Page‏‎ (566,834 views)
  2. XOOPS (89,879 views)
  3. Tiki Wiki CMS Groupware‏‎ (85,537 views)
  4. LIMS vendor (75,260 views)
  5. LIS vendor (50,981 views)
  6. ELN vendor (34,617 views)
  7. LIMS feature (29,067 views)
  8. 21 CFR Part 11/Audit guidelines and checklist‏‎ (24,856 views)
  9. Laboratory information system (19,631 views)
  10. SLCLAB Informática SL (18,273 views)
  11. Laboratory informatics (17,097 views)
  12. LIS feature (16,751 views)
  13. Physician office laboratory (15,115 views)
  14. LabLynx, Inc. (14,675 views)
  15. Laboratory information management system (14,053 views)
  16. LabWare, Inc. (13,818 views)
  17. Thermo Scientific (13,602 views)
  18. Health informatics (12,042 views)
  19. Scientific data management system (9,841 views)
  20. Electronic laboratory notebook‏‎ (9,833 views)
  21. Reference laboratory (8,276 views)
  22. Cloud computing (8,104 views)
  23. Laboratory, Scientific, and Health Informatics Buyer's Guide‏‎ (7,658 views)
  24. LIMSwiki mission (7,596 views)
  25. Oxwall (7,539 views)
  26. 21 CFR Part 11‏‎ (7,397 views)
  27. ClinCapture (7,305 views)
  28. ELN feature‏‎ (7,055 views)
  29. LIMS and laboratory informatics questionnaire (6,993 views)
  30. LabVantage Solutions, Inc.‏‎ (6,898 views)