Data Management describes the collection, organization, and storage of scientific data. Effective Scientific Data Management is essential for many biomedical processes including carrying out clinical trials, drug development, medical diagnostics, and disease management.
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Whole genomic and exomics sequencing applied clinically is revealing newly discovered genes and syndromes at an astonishing rate. While clinical databases and variant annotation continue to g...
In this webinar, our expert panel of speakers will introduce the new EnSight™ Multimode Plate Reader from PerkinElmer and demonstrate how the unique combination of well-imagin...
In this webinar, our expert panel of speakers will introduce the new EnSight™ Multimode Plate Reader from PerkinElmer and demonstrate how the unique combination of well-imaging with lab...
As next-generation sequencing (NGS) platforms advance in their speed, ease-of-use, and cost-effectiveness, many translational researchers are transitioning from microarrays to RNA sequencing...
Interest in vitamin D status remains high amongst the public and medical profession alike stimulating a surge in requests for clinical laboratories to measure patient serum 25-hydroxyvitamin...
For the last 60 years the primary method of preventing cervical cancer in both the U.S. and Europe has been cervical cytology -- if it is negative, women are rescreen in three years and if po...
The environment in which laboratory rodents are kept has an impact on experimental data and breeding performance. The quality of the environment is defined by both the quality of the primary...