Several types of innovative technologies used by researchers at the UNM Cancer Center produce large and complicated high-dimensional data that require specialized expertise, computational resources and software for analysis. These include next-generation sequencing (NGS) studies, high-throughput drug screening (HTS) (coupled with cheminformatics, target analytics and pharmacoinformatics), and super-resolution microscopy (including quantitative and hyperspectral techniques). Providing access to high-quality, expert and cost-effective data analysis solutions is just as important as making cutting-edge instrumentation and lab techniques available to users, so that they can make the best use of the data that are produced. The Bioinformatics and High-Dimensional Data Analysis Shared Resource provides UNM Cancer Center members with the expertise and technologies necessary to make use of these complicated data sets in a way that supports the goals of the UNM Cancer Center Research Programs and promotes innovative basic and translational cancer research in the UNM Cancer Center catchment area.
To acknowledge use of this shared resource, please include the following in your publications: This research was partially supported by UNM Comprehensive Cancer Center Support Grant NCI P30CA118100 and the Bioinformatics and High Dimensional Data Analysis shared resource.