The TIME Core Biostatistics & Bioinformatics Service provides integrated quantitative and computational support for basic researchers and clinician-scientists across the research lifecycle.
Led by Dr. Omar Cruz, the service supports study design, statistical analysis, bioinformatics and reproducible research workflows, helping investigators move from project conception through analysis, interpretation and publication.
Biostatistics & Bioinformatics Services
The service provides collaborative support for both clinical and preclinical research projects.
Services include:
- Experimental design consultation
- Power and sample size calculations
- Statistical analysis of clinical and preclinical datasets
- RNA-seq, single-cell and long-read sequencing analysis
- Multi-omics integration
- Spatialomics data interpretation
- Data visualization
- Development of analysis pipelines
- Machine learning applications
- Guidance on data management, sharing and reproducibility
Statistical Analysis
Biostatistical support is available for a wide range of research questions, including comparisons between groups, adjustment for covariates and development of predictive or classification models.
Examples of analyses include:
- t-tests
- ANOVA
- Kruskal-Wallis tests
- Chi-square tests
- Fisher’s exact tests
- Adjustment for sex and other covariates
- Logistic regression
- Support vector machine models
Preparing your data
Data submitted for analysis should ideally be provided as a comma-delimited (.csv) file with:
- No blank rows or columns
- Clear and simple column headers
- A separate file defining column headers where needed
Preparing data in a consistent format helps streamline analysis and reduce delays at the start of a project.
Planning your project
Need support with study design or data analysis?
Contact Dr. Omar Cruz with a brief summary of your project. Early consultation can help ensure that study design, sample size and analysis plans are aligned with your research goals.
Dr. Omar Cruz: omar.cruzcorrea@queensu.ca