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Connectivity between data management and lab automation is the big thing  This shows the complete history of the sampling cycle
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Connectivity between data management and lab automation is the big thing

This shows the complete history of the sampling cycle

Todayís clinical genomics and bio-pharmaceutical research laboratories and contract research organizations are increasingly challenged by enormous amounts of data, they need to manage, process and interpret, often in a highly regulated environment. Advanced scientific data management solutions optimize workflows, increase output and enable instrument and data connectivity within and between lab organizations in a compliant way, says Nicole Rose, responsible for Product Applications, Digital Science at Thermo Fisher Scientific.

Particularly industry companies in their growth stage - letís say the clinical genomics start-ups - produce huge amounts of data, when using for example next generation sequence techniques and likewise and also face strict regulatory compliance requirements.

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