Software and Programming

Find computational assets and expertise for basic, translational, clinical, and population health research. Services include:

• Experimental design
• Data generation, extraction and storage
• Data analysis and interpretation

Department of Epidemiology & Biostatistics provides data collection, cleaning, and storage services to research investigators.

• Cloud computing and server/desktop virtualization, hosted within the UCSF network and compliant with NIST-mandated security protocols
• Customized programming and data services
• Customized databases for outcome ascertainment studies

Workshops, programs and expertise/office hours in:

• Finding, Managing & Sharing Data
• Statistics, Bioinformatics and Genomics
• Programming in R, Python and more
• Data Visualization with Tableau

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment, programming language and data visualization tool. A campus-wide license is available for faculty, students and staff.

• Matrix manipulations, plotting of functions and data, implementation of algorithms
• Simulink and companion toolboxes for graphical multi-domain simulation and model-based design for dynamic and embedded systems
• Training sessions, online tutorials, and videos

UCSF's NLP community curates knowledge as participants experiment, learn and implement NLP tools in clinical and biomedical research projects.

• Slack channel and regular meetups
• Recommended tools for textual analysis of clinical notes

Offers annual licenses for research software to UCSF faculty and staff.

• Individual licenses: SAS | SPSS | JMP
• Academic discount on Stata

Online tools for clinical researchers:

• To determine how many subjects to include in a study
• To answer questions related to sample size or power calculations

Design and implementation of technical projects. Data services include:

• Application development/programming involving data
• Data security compliance

Download the macro and run it on your data; it summarizes continuous and categorical variables by subgroups, and generates:

• A summary table that is useful for a simple analysis/first look at a data set
• A final demographic descriptive table that may be used in the typical Table 1 of a clinical paper