Yearly Archives: 2022

New concept poised to accelerate drug discovery through data mining

RENCI scientists and collaborators have developed and defined a concept called Clinical Outcome Pathways (COPs) that could help scientists harness the vast amounts of clinical and biomedical data available today to accelerate drug discovery and drug repurposing.

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TR-22-01: A Framework for Estimating the Bounds of Contingency Tables: Application to an Open Clinical Research Service

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Data Matters short-course series is back for August 2022

Annual data science series returns via Zoom  Now in its ninth year, Data Matters 2022, a week-long series of one and two-day courses aimed at students and professionals in business, research, and government, will take place August 8 – 12 virtually via Zoom. The short course series is sponsored by the Odum Institute for Research […]

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RENCI and RTI International expand strategic partnership

RTI International (RTI), a nonprofit research institute, has recently established a strategic partnership with UNC-Chapel Hill’s Renaissance Computing Institute (RENCI) to build upon the success of existing collaborations and jointly seek out new research opportunities in areas such as data modernization, data science, and team science solutions.

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RENCI’s Advanced Cyberinfrastructure Support Team introduces updated research resources

The Advanced Cyberinfrastructure Support (ACIS) team at RENCI works to provide efficient, available resources for our researchers. Over the last several months, the team has introduced several new capabilities and tools that support researchers in successfully producing results from their computing research.

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Use cases show Translator’s potential to expedite clinical research

RENCI investigators are contributing to the development of a platform called Biomedical Data Translator that will allow researchers to easily access and interrelate large amounts of data relevant to advancing biomedical research.

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New streamlined statistical method provides improved pattern detection and risk prediction for disease

The novel regression algorithm, CALF, outperforms the current gold standard, LASSO, in statistical tests

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New data format aids large-scale evolutionary biology research

Gaurav Vaidya, PhD, from RENCI collaborated with a multi-institutional team of researchers to create a new data format that makes the clade definitions used by evolutionary biologists readable and interpretable by computers. Clades, which capture an organism’s ancestor and all its descendants, make up a portion of a phylogeny, a set of evolutionary relationships between different organisms.

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Omnibond joins iRODS Consortium

Collaboration enhances synergies for improving end to end data integration CHAPEL HILL, NC – The software company Omnibond has joined the iRODS Consortium, the membership-based foundation that leads development and support of the integrated Rule-Oriented Data System (iRODS). Omnibond is a software technology company with four main product areas including CloudyCluster for cloud high-performance computing […]

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Biomedical Data Translator Platform moves to the next phase

Although we now have huge amounts of data on everything from genes to the causes of disease, it is stored in an enormous variety of ways and in many different locations. This makes it difficult, if not impossible, to find and use this data to think about biomedical questions in a big picture, holistic way. […]

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