Skip NavigationSkip to Content

Core Infrastructure Group

The Core Infrastructure Group provides infrastructure support to the NCI community at Frederick, develops data mining and integration applications that are of broad use and also provides bioinformatics analysis support on various projects.

The infrastructure group maintains a huge bioinformatics data warehouse containing a variety of publicly available bioinformatics databases including but not limited to EntrezGene, Ensembl, Medline, UniProt. CIG also provides support for installing and maintaining bioinformatics software along with providing customized training on using the software for individual projects.

CIG Projects
CIG is actively involved in developing several data mining and integration applications. We have developed bioDBnet, a bioinformatics data integration application that allows seamless translations across multiple biological identifiers including ortholog conversions, and botXminer, a literature mining application on Clostridium botulinum articles that can be used for visualizing author networks showing co-authored publications.

Projects: Internal collaboration
Several groups in ABCC actively collaborate on several initiatives for developing applications with broad capabilities. The non-B project, developed as part of the NCI’s In Silico Research Center for Excellence (ISRCE) initiative for creating a web accessible resource for identifying and visualizing non-B DNA forming regions and AVIA, an application for Annotation, Visualization and Impact Analysis of variants and indels obtained through NextGen Sequencing provide two such examples.

Projects: External collaboration
CIG works with collaborators both within and outside the NCI/NIH community on various projects that benefit the research community. These collaborations included analysis on mouse viral insertion data to aid in recognizing new genes involved in cancer or to help determine the functionality of various oncogenes, Genome Wide Association Studies with billions of data points to identify SNP patterns, developing BotDB – a comprehensive web resource for Clostridium botulinum and SysBioCube, a systems biology project on diseases of military relevance.

More details and associated publications can be found on our projects page.