# Bioinformatics and High-Dimensional Data Analysis Shared Resource > **NIH NIH P30** · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · 2020 · $6,765 ## Abstract BIOINFORMATICS & HIGH-DIMENSIONAL DATA ANALYSIS SHARED RESOURCE ABSTRACT Recent years have seen enormous growth in the complexity and importance of high-dimensional data and the specialized methods and skills required for its successful analysis and integration. To address this emerging need, and to address previous critiques, the Bioinformatics and High-Dimensional Data Analysis Shared Resource (Bioinformatics) was developed by consolidating informatics components that were previously distributed in Biostatistics and three other shared resources, forming a data analysis-focused Resource with broadened scope, enhanced expertise and expanded capabilities. The reorganized Resource provides state-of- the-art informatics and data analysis for genomics, cheminformatics, image analysis and other complex problems. Faculty Director Jeremy Edwards, PhD (CGEG) is a genomics and bioinformatics expert and co- Directors Tudor Oprea, MD,PhD (CT) and Keith Lidke, PhD (TCBS) lead the cheminformatics and image analysis components of the Resource, respectively. The reorganized Resource is now well positioned to promote interdisciplinary research and to develop innovative and significant methodologies in cancer research. The Resource works closely with the other Shared Resources that generate large, complex data sets and with the faculty in the Biostatistics Shared Resource who provide complementary expertise. The Resource Directors collaborate with users to design experiments, develop new methods for data analysis and interpretation, to integrate therapeutic knowledge and to assist with grant writing and data processing for publications. The Resource maintains its own specialized computational resources, appropriate databases and software for accomplishing its diverse goals. It also works closely with UNMCC Research Programs to develop and integrate new methodologies into research projects, and actively facilitates and disseminates information about new approaches and data analysis techniques by maintaining an up-to-date web page, promoting training and education related to high-dimensional data collection and analysis and by giving presentations at UNMCC meetings and retreats. The UNM Cancer Center Research Administration (CCRA) manages the Resource, which operates through a collaborative model. During the previous 5-yr project period, 16 UNMCC members from all 4 Research Programs used the bioinformatics component of the former Biostatistics and Bioinformatics Shared Resource, resulting in a total of 10 publications (2 have pending PMCIDs). In the reporting year of July 2013 – June 2014, 16 UNMCC members were responsible for 100% of total Resource usage and were supported by 7 peer-reviewed grants. However, another 18 UNMCC members, supported by 14 more grants and responsible for 18 additional peer-reviewed publications, were supported by bioinformatics components in 3 other shared resources, which have now been consolidated. Conseque... ## Key facts - **NIH application ID:** 10230654 - **Project number:** 3P30CA118100-15S9 - **Recipient organization:** UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR - **Principal Investigator:** CHERYL LYNN WILLMAN - **Activity code:** P30 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2020 - **Award amount:** $6,765 - **Award type:** 3 - **Project period:** 2005-09-26 → 2021-08-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10230654 ## Citation > US National Institutes of Health, RePORTER application 10230654, Bioinformatics and High-Dimensional Data Analysis Shared Resource (3P30CA118100-15S9). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10230654. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*