SciLifeLab Implements Genologics Clarity LIMS
News Feb 15, 2014
GenoLogics Life Sciences Software, a leading provider of laboratory information management systems (LIMS) specifically designed for omics labs, has announced that Science for Life Laboratory (SciLifeLab) has implemented Clarity LIMS to support next generation sequencing workflows as part of their mission to establish a strong research community and to address challenging health and environmental issues.
Researchers throughout all of Sweden rely on the next generation sequencing services provided by SciLifeLab. As a lab that must process thousands of samples and manage many complicated workflows and experiments, SciLifeLab chose to implement Clarity LIMS. According to Per Kraulis, Manager of Genomics IT, "After researching many other systems, we arrived at Clarity LIMS because it was engineered specifically for next generation sequencing and it provided the best fit." Kraulis also adds that "The ability to easily configure and customize Clarity LIMS to work with new workflows and in-house systems will help us find balance between achieving operational efficiencies and providing cutting edge services."
SciLifeLab has also decided to implement Clarity LIMS in its clinical genomics lab. With comprehensive sample tracking, the ability to enforce workflows, and data collection for instrument and sample precision monitoring, it greatly aids organizations in meeting regulatory requirements.
"We are pleased to develop a system that supports the needs of both clinical and research labs doing next generation sequencing," remarks Michael Ball, CEO of GenoLogics. Furthermore, "Understanding how SciLifeLab will be using the system to address health and environmental challenges will further codify our vision to provide the best collaborative lab information management platform for work in life sciences."
Unlike most cells in the rest of our body, the DNA (the genome) in each of our brain cells varies from cell to cell, caused by somatic changes. But much remains unknown, including when these changes arise, their size and locations, and whether they are random or regulated. Now, researchers have developed new techniques allowing the detection of CNVs smaller than one million base pairs.