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* [[Health Insurance Portability and Accountability Act|HIPAA]] | * [[Health Insurance Portability and Accountability Act|HIPAA]] | ||
LIMSwiki publications: | |||
* [[LIMSWiki:Publications#The Complete Guide to LIMS & Lab Informatics|The Complete Guide to LIMS & Lab Informatics]] | * [[LIMSWiki:Publications#The Complete Guide to LIMS & Lab Informatics|The Complete Guide to LIMS & Lab Informatics]] | ||
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* [[LIMSWiki:LIMSforum and LIMS/LI forum posts|LIMSforum and LIMS/LI posts]] | * [[LIMSWiki:LIMSforum and LIMS/LI forum posts|LIMSforum and LIMS/LI posts]] | ||
* [[Laboratory, Scientific, and Health Informatics Buyer's Guide]] | * [[Laboratory, Scientific, and Health Informatics Buyer's Guide]] | ||
* | * [[Limspec]] | ||
* '''NEW''': [[ | * [[LIMS and laboratory informatics questionnaire]] | ||
* '''NEW''': [[Laboratory information system (LIS) questionnaire]] | |||
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Revision as of 20:17, 26 August 2015
Welcome to LIMSwiki.org, the laboratory, health, and science informatics encyclopedia.
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. |
Get started
Need help getting started with LIMSwiki? Have no fear! Here are some excellent starting points: LIMSwiki and MediaWiki help: |
Featured article of the week
"Geochemical biodegraded oil classification using a machine learning approach" Chromatographic oil analysis is an important step for the identification of biodegraded petroleum via peak visualization and interpretation of phenomena that explain the oil geochemistry. However, analyses of chromatogram components by geochemists are comparative, visual, and consequently slow. This article aims to improve the chromatogram analysis process performed during geochemical interpretation by proposing the use of convolutional neural networks (CNN), which are deep learning techniques widely used by big tech companies. Two hundred and twenty-one (221) chromatographic oil images from different worldwide basins (Brazil, USA, Portugal, Angola, and Venezuela) were used. The open-source software Orange Data Mining was used to process images by CNN. The CNN algorithm extracts, pixel by pixel, recurring features from the images through convolutional operations ... (Full article...)
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Laboratory informatics software and products
Are you looking for LIMS software? An electronic laboratory notebook? Or perhaps laboratory equipment? Try these suggestions:
Additional tools: |
Key cloud- or SaaS-based laboratory informatics software
Listed below are key commercial and open-source laboratory informatics software offerings listed in the wiki that utilize the cloud or software as a service (SaaS) model. "Key" indicates vendor's (or software's) LIMSwiki page has a cited (from a publicly-available source) price list. Those with demonstration videos are given higher preference; items ranked by number of videos.
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Additional information
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