This recorded Lab Informatics Tutorial series is designed as a management level view of laboratory systems and is appropriate for anyone planning, reviewing, or approving the acquisition of laboratory informatics. A background in science is not necessary to follow the presented material. Its purpose is to provide you with an understanding of how these technologies (Laboratory Information Management Systems, Electronic Laboratory Notebooks, Scientific Data Management Systems, Laboratory Execution Systems, Instrument Data Systems, and supporting technologies ) can be used to support/improve your labs operations, and the considerations that need to be taken into account before they are purchased.
Text analytics is a data analysis technique that is used in several industries to develop new insights, make new discoveries, and improve operations. This should be applicable to materials scientists and informaticists also, say Kalathil et al. in this 2018 paper published in Frontiers in Research Metrics and Analytics. Using a coclustering text analysis technique and custom tools, the researchers demonstrate how others can "better understand how specific components or materials are involved in a given technology or research stream, thereby increasing their potential to create new inventions or discover new scientific findings." In their example, they reviewed nearly 438,000 titles and abstracts to examine 16 materials, allowing them to "associate individual materials with specific clean energy applications, evaluate the importance of materials to specific applications, and assess their importance to clean energy overall."
Many next-generation sequencing (NGS) data analysis frameworks exist, from Galaxy to bpipe. However, Hatakeyama et al. at the University of Zürich noted a distinct lack of a framework that 1. offers both web-based and scripting options and 2. "puts an emphasis on having a human-readable and portable file-based representation of the meta-information and associated data." In response, the researchers created SUSHI (Support Users for SHell-script Integration). They conclude that "[i]n one solution, SUSHI provides at the same time fully documented, high level NGS analysis tools to biologists and an easy to administer, reproducible approach for large and complicated NGS data to bioinformaticians."
In this 2015 journal article published in the open-access journal Journal of Cheminformatics, Mohebifar and Sajadi describe their web-based HTML5/CSS3 3D molecule editor and visualizer Chemozart. Able to be run from the public web source or your own personal instance, Chemozart is both useful for educational and research purposes. The authors tout "that there’s no need to install anything and it can be accessed easily via a URL."
That’s right! Finally, someone is going to reveal which LIMS is the “World’s Best LIMS”. Now there will be no need to go through those long, complex, and difficult LIMS Selection Processes! But wait a second, is there really such a beast lurking in the lab informatics jungle? Unfortunately the answer is no, not really. There are just too many variables and factors to be weighed when determining the right LIMS for your lab organization.