Illumina CLIA lab subscribes to Clarity LIMS to augment existing informatics infrastructure
News Mar 03, 2013
GenoLogics Life Science Software, a leading provider of laboratory information management systems (LIMS) designed for today's omics labs, has announced that the Illumina Clinical Services Laboratory has signed a subscription license agreement for Clarity LIMS. Under the agreement, Clarity LIMS, alongside internally developed systems within the CLIA-certified, CAP-accredited laboratory at Illumina, will be used to support Illumina's TruSight Individual Genome Sequencing (IGS) test.
"In the clinical laboratory environment, informatics tools to support compliance, such as the data and workflow enforcement features offered in Clarity LIMS, are crucial to ensuring high quality throughout the laboratory process," said Marc Laurent, Director of Commercial Services for Illumina. "We are confident that Clarity LIMS will help us to maintain our high quality standards and serve physicians and patients as the demand for our sequencing services grow."
Clarity LIMS is an intuitive lab management system that combines information management essentials for CLIA-certified and other regulated labs with a clear and simple interface. Specifically, Clarity LIMS assists these organizations with workflow enforcement, adherence to standard operating procedures and management of the specific complexities associated with next-generation sequencing (NGS). All of these capabilities can be implemented within a few weeks, making Clarity LIMS unparalleled in the industry.
"We are pleased to be part of the Illumina CLIA laboratory's' robust informatics ecosystem," says Michael Ball, CEO of GenoLogics. "An increasing number of CLIA laboratories are taking advantage of our flexible Clarity LIMS subscription licensing to support the growing sequencing services business."
Algorithm Speeds Up Medical Image Analysis 1000 TimesNews
Medical image registration is a common technique that involves overlaying two images, such as magnetic resonance imaging (MRI) scans, to compare and analyze anatomical differences in great detail. Researchers have described a machine-learning algorithm that can register brain scans and other 3-D images more than 1,000 times more quickly using novel learning techniques.
Antarctic Worm and Machine Learning Help Identify Cerebral Palsy EarlierNews
A research team has released a study in the peer-reviewed journal BMC Bioinformatics showing that DNA methylation patterns in circulating blood cells can be used to help identify spastic cerebral palsy (CP) patients. The technique which makes use of machine learning, data science and even analysis of Antarctic worms, raises hopes for earlier targeted CP therapies.
Towards Personalized Medicine: One Type of Data is Not EnoughNews
To understand the biology of diseased organs researchers use different types of molecular data. One of the biggest computational challenges at the moment is integrating these multiple data types. A new computational method jointly analyses different types of molecular data and disentangles the sources of disease variability to guide personalized treatment.READ MORE