About CQS

The mission of the Vanderbilt Center for Quantitative Sciences (CQS) is to coordinate and integrate the work of Vanderbilt University and Medical Center quantitative scientists across the disciplines of biostatistics, bioinformatics, biomathematics, computational biology, biomedical engineering, and other related fields, with the end goal of building bridges and streamlining quantitative collaboration for improved biomedical research. CQS members have expertise in basic science as well as clinical/translational studies, with a particular interest in high-dimensional data, including proteomic, genomic, lipidomic, and metabolomic research. The center is available to all university and medical center investigators, offering collaborative support spanning traditional statistical inputs (e.g., experimental design, sample size determination, power analysis, conventional data analysis and results interpretation), to novel statistical and bioinformatic approaches for modern technologies (e.g., advanced sample size determination for next-generation sequencing, multivariate modeling for high-dimensional data), to systems and computational biology approaches for asking questions and modeling results.

Services Offered:

Biostatistics Program Leader:

Tatsuki Koyama, Ph.D.

Tatsuki Koyama, Ph.D.
Associate Professor of Biostatistics

Services:

The Vanderbilt Center for Quantitative Sciences team works with Medical School investigators to:

  • Define objectives and endpoints
  • Analyze pilot data
  • Select an appropriate design
  • Compute an adequate sample size with concern for the clinical as well as statistical significance
  • Estimate the time required to accrue the total patient population
  • Specify the statistical methods
  • Prepare statistical sections of the grant and protocol applications

Objectives:

The members of the Vanderbilt Center for Quantitative Sciences endeavor to:

  • Provide consultative services for Vanderbilt Medical School investigators in the statistical design, conduct, and analysis of studies
  • Collaborate in funded research efforts initiated by Vanderbilt Medical School laboratory and clinical investigators, by providing statistical expertise in study design, power and sample size analysis; data analysis; interpretation of results; and writing of manuscripts
  • Provide relational database design, data tracking, forms, queries, and reports for investigator-initiated clinical trial databases or laboratory study databases
  • Develop and evaluate statistical methods for experimental design and data analysis
  • Work with the Vanderbilt Medical School Clinical Trials Shared Resource in the development of a new research project database to maintain data quality control and ensure timely data capture
  • Train Vanderbilt Medical School investigators in research design and data analysis through seminars, short statistical workshops, and individual sessions on statistical methods

Bioinformatics Program Leader:

Bing Zhang, Ph.D.

Bing Zhang, Ph.D.
Associate Director, Center for Quantitative Sciences
Associate Professor of Biomedical Informatics

Services:

The Vanderbilt Center for Quantitative Sciences team works with Medical School investigators to:

  • Define objectives and endpoints
  • Provide consultative services for bioinformatics-related project design.
  • Provide consultative services for bioinformatics data analysis
  • Provide consultative services for database and software development
  • Analyze pilot data
  • Prepare bioinformatics sections of the grant and protocol applications

Objectives:

The members of the Vanderbilt Center for Quantitative Sciences endeavor to:

  • Provide consultative services for Vanderbilt Medical School investigators in bioinformatics data analysis
  • Collaborate in funded research efforts initiated by Vanderbilt Medical School laboratory and clinical investigators, by providing bioinformatics expertise in data analysis; data interpretation; hypothesis generating; and writing of manuscripts
  • Develop and evaluate computational methods and software tools for bioinformatics data analysis
  • Train Vanderbilt Medical School investigators in bioinformatics resources and data analysis methods through seminars, short workshops, and individual sessions

Systems Biology Program Leader:

Vito Quaranta, M.D.

Vito Quaranta, M.D.
Professor of Cancer Biology

The Vanderbilt Center for Quantitative Sciences team works with Medical School investigators to:

  • Define objectives and endpoints
  • Provide consultative services for omics (genomics, transcriptomics, and proteomics) data analysis
  • Provide consultative services for data integration and pathway and network analysis
  • Provide consultative services for systems biology databases and software packages
  • Analyze pilot data
  • Prepare computational systems biology sections of the grant and protocol applications

Objectives:

The members of the Vanderbilt Center for Quantitative Sciences endeavor to:

  • Provide consultative services for Vanderbilt Medical School investigators in data integration and systems biology
  • Collaborate in funded research efforts initiated by Vanderbilt Medical School laboratory and clinical investigators, by providing systems biology expertise in data integration; data analysis; data interpretation; hypothesis generating; and writing of manuscripts
  • Develop and evaluate computational methods for data integration and analysis
  • Train Vanderbilt Medical School investigators in systems biology resources and data analysis methods through seminars, short workshops, and individual sessions

Data Coordinating Service Program Leader:

Lynne D. Berry, Ph.D.

Lynne D. Berry, Ph.D.
Deputy Director, Vanderbilt Center for Quantitative Sciences

Services:

The CQS Data Coordinating Services (DCS) team works with Medical School investigators to:

  • Define technical requirements and expectations for data management, including database design and routine data reporting.
  • Develop appropriate data dictionary and data entry manual to ensure comprehensive documentation of data elements in support of data collection goals.
  • Develop custom data collection, management, and storage solutions, appropriate to the needs of each project
  • Maintain ongoing communication and service to provide training on data entry, ensure IRB compliance, address any issues or bugs, and ensure data quality control
  • Provide routine and custom data reports and summary statistics as data accrues

Objectives:

The members of the CQS DCS endeavor to:

  • Provide data management expertise to fill this critical gap in many research programs
  • Assist in improving the quality and efficiency of biomedical research, by providing project-centric data management solutions
  • Improve the quantity and quality of knowledge gained from data, by providing data management solutions that promote and optimize data integrity

Health Services & Outcomes Research Program Leader:

Tatsuki Koyama, Ph.D.

Tatsuki Koyama, Ph.D.
Associate Professor of Biostatistics

Services:

The CQS Health Services Research Team provides analytical support to Vanderbilt HSR and outcome research investigators:

  • Consult to optimize study design and performance.
  • Compute sample size and estimate analytical power.
  • Develop plans for appropriate statistical analysis.
  • Perform statistical analysis.
  • Execute interim analyses.
  • Write statistical results for publication.
  • Develop publication quality tables and figures.
  • Ensures high quality data collection collaborating with the CQS Data Coordinating Service.
  • Provide education in fundamentals in biostatistics in HSR and outcome research and introduction to basic epidemiological concepts.
  • Provide expertise in utilizing large observational databases for epidemiological studies.