Data analysis programs clinical research

#DATA ANALYSIS PROGRAMS CLINICAL RESEARCH SOFTWARE#

Software environments for management, analysis, and visualization of genomic data: Web-hosted environments (PaaS or Saas) for genomics data storage, analysis, visualization and sharing.

General genome data analysis tools: Development of other tools not covered above.

Machine learning for genomics:В Methods development and applications using ML to explore genomics data.

Function analyses: Methods and tools that facilitate the use of gene regulation, gene expression, epigenetic modifications, and methylation data.

Sequencing informatics: Methods for processing, aligning, and formatting sequence reads, performing genome assembly, and extracting sequence features.

Genomic data processing and analysis tools.

Clinical and phenotype analyses: Methods for management and analysis of clinical phenotype and electronic health record (EHR) data.

Variation and association analyses: Methods for interpreting genetic variation, associating variation with phenotypes, and analyzing population data.

Genetic variation, clinical and phenotype analyses.

Genetic variation, clinical and phenotype analysis Each link associated with a category will display the portfolio of FY2021 grants that received funding from the NHGRI Computational Genomics and Data Science Program. We seek to continue a strong tradition of clinical and basic research, foster peer reviewed, extramurally funded programs and introduce important new areas in translational investigation such as regenerative medicine and gene therapy.The links below lead to NIH RePORTER, a database that provides information on NIH funded grants and research activities. Coupled with University of Wisconsin core laboratories and services, including the Office of Clinical Trials and the Biotechnology Core, our environment is second to none. We offer complete mouse cardiovascular physiology and imaging services, and routinely create cardiovascular disease models in animals from mice to primates. In addition to programmatic research, we have focussed on building critical infrastructure to support continued excellence and growth of our research enterprise. By creating great strengths in these areas, we are able to build programs that include both clinical and basic investigators, and that support and encourage research spanning the spectrum of endeavor, bridging the bench-to-bedside gap. Our efforts in all areas are accompanied by funded educational and training programs and amplified by strong collaborations with basic scientists and engineers across the UW campus. Of great importance is the Cardiovascular Research Center, a group of more than 120 investigators from seven schools across the UW, all of whom focus on some area of cardiovascular inquiry. It is also exceptionally well funded, with 69 active grants yielding more than $25 million in National Institutes of Health (NIH) funding for cardiac disease and stroke research in 2003. Thus, the spectrum of cardiovascular research at UW is broad, from the most basic to the purely clinical.

Townhall and Announcements (Secure Page)Д¬ardiovascular Medicine has a robust research enterprise centered on four major themes: heart failure and ventricular function, electrophysiology and arrhythmias, vascular biology including prevention, and imaging.

Hematology, Medical Oncology and Palliative Care.

Allergy, Pulmonary and Critical Care Medicine.

Chair's Message: Mission, Vision and Values.

Data analysis programs clinical research