Difference between revisions of "Main Page"
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34. [[Margy Tech Pvt. Ltd.]]<br /> | 34. [[Margy Tech Pvt. Ltd.]]<br /> | ||
35. [[Mountain States Consulting, LLC]]<br /> | 35. [[Mountain States Consulting, LLC]]<br /> | ||
36 | 36. [[Shazino SAS|shazino SAS]]<br /> | ||
37. [[SLCLAB Informática SL]]<br /> | |||
38. [[SPLhost, Inc.]]<br /> | |||
39. [[Summit Research Services]]<br /> | |||
40. [[System Approach, Ltd.]]<br /> | |||
41. [[Terra Systems OÜ]] | |||
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18. iLIS via [[Margy Tech Pvt. Ltd.]]<br /> | 18. iLIS via [[Margy Tech Pvt. Ltd.]]<br /> | ||
19. Element LIMS via [[Promium, LLC]]<br /> | 19. Element LIMS via [[Promium, LLC]]<br /> | ||
20 | 20. Datacloud via [[SPLhost, Inc.]]<br /> | ||
21. hivebench via [[Shazino SAS|shazino SAS]] | |||
</div> | </div> | ||
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Revision as of 18:27, 20 October 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
"Data management challenges for artificial intelligence in plant and agricultural research" Artificial intelligence (AI) is increasingly used within plant science, yet it is far from being routinely and effectively implemented in this domain. Particularly relevant to the development of novel food and agricultural technologies is the development of validated, meaningful, and usable ways to integrate, compare, and visualize large, multi-dimensional datasets from different sources and scientific approaches. After a brief summary of the reasons for the interest in data science and AI within plant science, the paper identifies and discusses eight key challenges in data management that must be addressed to further unlock the potential of AI in crop and agronomic research, and particularly the application of machine learning (ML), which holds much promise for this domain ... (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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