Data Management/ Quantitative Methodologies
Our Quantitative Methodologies team provides resources for quantitative scholarship and services for researchers through biostatistics, epidemiology and research design and computational biology and medicine. We follow best reproducible research practices when developing statistical products for our clinical and translational colleagues. This includes:
- Preserving raw data and making modifications using syntax files so that changes are documented
- Use of computer programs that integrate statistical code with word processing packages
- Creating well documented ‘macros’ and memos that annotate the major analytical steps and scientific decisions made in collaboration with the investigator.
We maintain state of the art high performance computing systems allowing for parallelized processing across computing cores. In computational medicine, we provide expertise and assistance in agent-based microsimulations, dynamical systems modeling, pharmacodynamics and anatomical registration. In computational biology, we provide full computational support for whole genome sequencing, genome re-sequencing, exome sequencing, as well as statistical support for the analysis of data resulting these methodologies.
Through ICTR, Center for Clinical Trials (CCT) faculty members offer a consulting service on questions relating to study design and conduct. Housed in the Department of Epidemiology in the Bloomberg School of Public Health, the interschool CCT ...
The multidisciplinary Johns Hopkins Center for Computational Genomics was established by the Provost office in 2008 and integrates the work of basic scientists (biologists and clinicians), statisticians, and computer scientists. Initiatives include: Annual Practical Genomics: From ...