Georgia Cancer Center Bioinformatics Resource

Bioinformatics is an interdisciplinary scientific field that develops methods for storing, retrieving, organizing and analyzing biological data. A major activity in bioinformatics is to develop software tools to generate useful biological knowledge.

Our Mission

Our mission is to provide expertise in integrative computational-based analysis solutions to basic, clinical, and translational research applications. Bioinformatics support ranges in scope from simple consultations to more in-depth collaborations. We require the participation of the investigator during the course of our data analysis because we believe that input into the biological parameters are tantamount to success of the analysis.

Publication Policy

Acknowledgement of the Shared Resource is always required on publications resulting from consultation with the personnel of the Bioinformatics Core. Significant involvement in the project, significant involvement in the interpretation of scientific data, involvement in the actual writing of a paper, use of original techniques, and/or novel experimental design by the facility stuff are required to be acknowledged by co-authorship and acknowledgement of shared resource facility.


Dr. Chang is a Computational Genomic Data Scientist, specializing in NEXT-GEN SEQUENCING analysis, certified by University of California System School in Biostatistics and Bioinformatics, has further received Computational Programming Course Certificates as follows:

  • R programming and Command-line tools on Linux Clusters: University of California, Riverside
  • Bisulfite-Sequencing data Analysis University of California, Los Angeles
  • Statistical Machine Learning, University of Washington
  • Statistical Genetics and Programming, University of California, Los Angeles & Stanford University

Applied Languages: R, SAS, Python and Unix Command Lines.

Contact Us

 Bioinformatics Resource
Georgia Cancer Center
Cancer Research Building, CN-3112
1410 Laney Walker Blvd.
Augusta, GA 30912 

Sam Chang, PhD

Sam Chang


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