Data quality describes how well a set of data serves the purpose it represents. Data quality is measured by considering a series of characteristics including accuracy, validity, and consistency. The completeness and uniqueness of the data is also considered when assessing data quality.
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DATE: October 30, 2018TIME: 9:00AM PSTMass spectrometry-based proteomics is a rapidly growing area of research that provides useful information for many fields including basi...
Hydrogen-deuterium exchange mass spectrometry (HDX-MS) has developed into a powerful tool for investigating biopharmaceuticals, protein interactions, and membrane protein dynamics. Since 2010...
Two-dimensional (2D) 1H-13C methyl correlated NMR is increasingly being recognized as a powerful tool to characterize the higher order structure (HOS) of monoclonal antibody (mAb) therapeutic...
DATE: October 23, 2018TIME: 9:00AM PDTIxodes scapularis is the principal vector of the Lyme disease spirochete, Borrelia burgdorferi. I. scapularis genome was the first and only...
As the most common female malignancy, breast cancer is the most likely reason that a woman will die of cancer around the world. Breast cancer mortality has dropped in the U.S. by 35% since 19...
DATE: October 11, 2018TIME: 8:00AM PDTSimultaneous quantitation of 6 or more biomarkers in intact tissue specimens holds the key to many questions concerning the biological basis o...
High-throughput screening is widely useful in identifying genes and pathways that drive changes in cell behavior such as cell cycle regulation, metastasis, and drug resistance. Millipor...
Sexually transmitted diseases remain a major global public health burden despite the availability of effective prevention strategies to diagnose and treat bacterial STDs. Concerning tre...