Data Integrity: is the maintenance of, and the assurance of the accuracy and consistency of, data over its entire life-cycle, and is a critical aspect to the design, implementation and usage of any system which stores, processes, or retrieves data.
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The ENCODE and modENCODE consortia have generated a resource containing large amounts of transcriptomic data, extensive mapping of chromatin states, as well as the binding locations of >30...
The human genome encodes ~21,500 proteins that are subject to reversible phosphorylation at nearly 1 million phosphosites by about 538 protein kinases and 156 protein phosphatases. Amongst ot...
Clinical laboratory information provides decision support for most healthcare providers and impacts care processes and patient outcomes throughout the entire health services delivery system....
Case Example: University of Michigan Chemical Pathology LaboratoryEvery laboratory wants to achieve the highest quality possible and meet its commitment to deliver timely results. However...
Due to the large increase in the number and complexity of clinical laboratory tests, optimal use of laboratory testing services has presented many challenges. The Clinical Laboratory Integrat...
With a rising prevalence recently exceeding 1%, autism spectrum disorder (ASD) has become a pressing public health issue. Crucial hurdles on the way to targeted treatments are (i) the relianc...
Neuroimaging plays a large role in our pursuit of the understanding of behavior and cognition in health and disease. The past decade has seen the emergence of a wealth of resources that suppo...
We present a personalized medicine suite of software applications developed at UCSF for multiple sclerosis (MS): the MS Bioscreen. This new tool addresses the challenges of the dynamic manage...
The proper surgical techniques represent a key opportunity to improve the welfare of laboratory rodents, while meeting legal and ethical obligations. Use of inappropriate or poor surgical tec...