For assistance with cancer bioinformatics and/or biostatistics, please fill out our service request form.
Notice: We will be migrating to the PPMS service request system on Thursday, December 15, 2016.
The Biostatistics and Bioinformatics Shared Resource at Winship Cancer Institute of Emory University provides service and collaboration in clinical, laboratory, population and molecular cancer study design and analysis. We are a shared resource defined by a TEAM-based approach in which we are Thoughtfully Engaged to obtain Accurate results, while being Mindfully aware of their context to the cancer type and deadlines for their execution.
We offer the following specific services...
- Trial study design and analysis plan
- Grant/manuscript/abstract preparation
- Cancer focused data analyses
- Genomic study design and analysis plan
- Clinical and translational study reviews
- Pathways and gene network analyses
- Gene drug target identification
- Clinically relevant biomarker associations
We provide analysis for...
- Clinical trials: phase I, II, III and biomarker
- Retrospective/prospective cohort analysis
- Microarrays: gene expression, SNP-copy number, methylation or miRNA
- Next generation sequencing: RNAseq, DNAseq and exome seq
- Customized gene panels: nanostring or sequenom
Our research includes...
- Cancer specific analysis pipelines
- Biomarkers in clinical trials
- High-dimension/high-complexity data
- Incorporating drugs and cancer biology into results
- Trial related software development
- Clinical-informatics analytical workflow development by cancer type
We offer software for various phase I clinical trial designs including escalation with overdose control, isotonic design using normalized equivalent toxicity score and escalation with overdose control using normalized equivalent toxicity score.
Our SAS® macros can be used throughout the entire analysis process from start to finish, including descriptive statistics, bivariate statistics, unadjusted regression, and multiple regression. The macros generate professional looking analysis reports with the goal of condensing the relevant information from a statistical analysis into an understandable format for investigators.
Select from the drop down menu buttons below to download the desired software (available in ZIP file with text file instructions.)
The National Cancer Institute (NCI) requires that publications acknowledge the Winship Cancer Institute CCSG support, and they are tracking compliance. If a Winship Cancer Institute CCSG-supported Shared Resource provided data, designed the study, performed analyses, and/or provided results used in your publication, please include the following statement in the acknowledgment section of your publication(s):
Research reported in this publication was supported in part by the Biostatistics and Bioinformatics Shared Resource of Winship Cancer Institute of Emory University and NIH/NCI under award number P30CA138292. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
We're hiring! We seek a highly motivated Senior Bioinformatics Analyst to join our team. The BBISR provides research project support to Winship investigators using next generation sequencing (NGS) and other cutting edge genomics technologies for cancer-related basic science and clinical trials.
Our team provides service and consultation for Winship members in clinical, laboratory, population sciences, prevention, and molecular cancer study design and analysis. Our approach to service is to provide the highest quality study design, statistical and bioinformatics analysis that includes a detailed, ‘grant-manuscript-presentation’ ready report. Through collaborations, we aim to bridge related disciplines through the implementation of both novel and conventional methods, where appropriate, focused on the acquisition, representation, retrieval, and analysis of existing and emerging data to better understand cancer biology.
Research Associate Professor
Research Assistant Professor
Research Assistant Professor
Research Scientist Sr.