BIOSTATISTICS & BIOINFORMATICS CORE | The Synergistic Partnership for Enhancing Equity in Cancer Health

Biostatistics and Bioinformatics Core:

Biostatistics and Bioinformatics Core

The goal of this Core is to facilitate and enhance research by providing expertise in study design, statistical analysis, bioinformatics, genomics, and data management. This goal will be accomplished through the following specific aims:

Aim 1. Provide expert consultation for TUFCCC/HC Cancer Partnership investigators in the rigorous design of experiments and studies, including research proposal development, sample size determination, randomization procedures, experimental methods and plans for interim reviews and final analysis.

Aim 2. Perform statistical and bioinformatics analyses for TUFCCC/HC Cancer Partnership investigators using appropriate statistical and computing methodologies, as well as assist investigators with the writing of statistical and bioinformatics components of manuscripts and the interpretation and presentation of results.

Aim 3. Provide Informatics tools to enhance TUFCCC/HC Cancer Partnership research. Build cancer research capacity at HC by providing HC researchers with information systems (i.e., REDCap (Research Electronic Data Capture)) that facilitate data entry, storage and retrieval; and permit access to common resources and high-quality information while maintaining strict confidentiality.

Aim 4. Provide cost-effective, high-quality genomic and epigenetic services and expertise for the TUFCCC/HC Cancer Partnership including NextGen sequencing (e.g., DNA-Seq, RNA-Seq) as well cytogenetic analysis, chromosome and expression microarray solutions as needed.

Aim 5. Enable TU FCCC/HC investigators who may be non-technical users to easily access and manage large-scale genomic datasets and run bioinformatics data pipelines, through a user-friendly, web-browser accessible interface that also provides a data sharing functionality, allowing investigators to easily collaborate, and exchange genomics sequencing data and bioinformatics analysis results.