The Data Management and Analysis Core (DMAC) facility develops and supports the data management and analysis needs of faculty and students involved in biomolecular communication research. Researchers in the CIBC are embracing the challenges and promise of large-scale, high-throughput data, and the DMAC facility has been designed to serve as an integral partner in such research.
The DMAC provides these multiomics research partnerships
- expertise in data management, statistical analyses, data mining and machine learning, functional and predictive analyses, querying of existing databases, and computational modeling and
- education about the role of omics data in research and successful approaches to collaboration with faculty and staff in bioinformatics.
To access the DMAC portal go to: https://dmac.unl.edu
A tutorial can be found here on how to use the portal.
Computational Platform for Data Management
The DMAC facility’s computational platform consists of a web portal that enables data access, processing, and interpretation within the Center and also facilitates the sharing of research data with stakeholders and the general public. Significantly, the web portal facilitates interactions with the SBC facility by permitting CIBC members to upload data from microscopy, MS, and nuclear magnetic resonance (NMR) experiments for investigator access.
Process for Initiating Collaborations with DMAC Personnel
Submit a web request form for DMAC services; personal contact (in person and/or by email) between the DMAC and the requester to establish a common understanding of the needs, goal, and cost of the request; request prioritization; and expected timeline for completion.
The DMAC facility has a high, positive impact on Center development by enabling affiliated researchers to address critical problems in biomolecular communication relevant to our basic understanding of human disease processes.
The outcomes of the CIBC’s DMAC facility include: 1) provides a computational pipeline for data storage and management that serves all CIBC investigators; 2) a rational, sustainable process for collaboration with DMAC personnel; and 3) educational opportunities for CIBC faculty and staff in omics data research, management, and analysis. In the long-term, the DMAC facility expects half of its operating expenses will be met through web portal access fees, data storage fees, and analytical service fees, which will contribute greatly to its sustainability.