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The Core for Research Informatics (CRI) at the University of Illinois-Chicago (UIC) provides advanced computing and statistical expertise to support the analytic activities related to genetics, genomics, transcriptomics, epigenomics, metagenomics, metabolomics, and proteomics, as well as applications in statistical analysis, systems biology, and machine learning for the UIC and Chicago-area research community. The CRI also supports study design and grant activities, and provides both project-specific and general consultations free of charge. Please contact us for more information.

Statistical analysis for high-throughput experiments includes SNP genotyping, SNP detection by DNA sequencing, gene expression analysis from microarray or RNA-seq, ChIP-seq and ATAC-seq, DNA methylation, single-cell studies, microbiome analysis by amplicon and shotgun approaches. Continued support is provided to researchers by designing, customizing, and implementing analyses necessary for a systems-level biological understanding. Such projects may include integration of multiple types of -omics data, associations of genetic data with phenotypes or other clinical data (i.e., case/control studies), development of novel pipelines. Additionally, the CRI advises on experimental design to optimize the use of often-limited experimental resources, creates data visualizations (e.g., heat maps, NMDS plots, etc.), and assists with manuscript and grant writing/preparation.

Managed by the Research Resources Center (RRC), the CRI is funded by the Office of the Vice-Chancellor for Research (OVCR) and supported in part by the Cancer Center (UICC), the Center for Clinical and Translational Science (CCTS), and by various colleges and departments.