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CCR Collaborative Bioinformatics Resource

The CCR Collaborative Bioinformatics Resource (CCBR) is a resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has expertise in a broad range of bioinformatics topics, and as such, its goal is to provide a simplified central access point for CCR researchers.

The CCBR group includes members of the CCR Office of Science and Technology Resources (OSTR), Frederick National Laboratory for Cancer Research (FNLCR) and the Center for Biomedical Informatics and Information Technology (CBIIT). The CCBR may also direct projects to other available CCR bioinformaticians as needs demand.

Requests for any type of Bioinformatics support should be through the Project Request Form. On this form, the requestor should describe the type of assistance being sought. Generally speaking, it is best to first contact CCBR for help with experimental design to reduce any possible sources of technical variation that may be added during handling or sequencing. Proper consultation ensures timely turn-around times and may save you money in the long run (some data may not be salvageable). Therefore, it is highly recommended to contact CCBR first before any samples are sent out for sequencing. CCR scientists who are interested in receiving advice on the best technologies and strategies for upcoming experiments can similarly use the CCBR Project Request Form to request assistance.

Once the nature of the project has been clearly defined it will be assigned to a lead analyst to help with everything from data analysis to manuscript preparation.

Assistance obtained via the CCBR should be viewed as collaborative in nature, with appropriate co-authorship or acknowledgment, depending on the nature of work involved.

Established technologies

  • Microarray analysis across a variety of platforms and custom arrays
  • Next Generation Sequence (NGS) data analysis
  • Data mining, statistical and mathematical analysis using multiple approaches
  • Pathway mapping and biological interpretation
  • Multi-experiment data integration and correlation
  • miRNA and array CGH analysis
  • SNP and base calling

For more information, please visit the CCBR website. Additional contact information can be found here.