High-throughput technologies have established themselves as indispensable tools for the study of biological systems, from gene expression level changes, protein concentrations, to their modifications and interactions in complex diseases and systems – cells and complete organisms.
The Core assists with all computational aspects of the COBRE projects, including all aspects of statistical and high-throughput analyses, such as experimental design, data standardization and normalization, data pathway and other confirmatory analyses, data storage, sharing and management and integration of the project-related data into public databases. Our goal is to incorporate aspects of high-throughput and high-performance computing with knowledge discovery approaches through the application of neural networks, probability and statistics to support and enhance each of the participating projects and the Molecular Analysis Core. In short, we facilitate the multi-step, data-intensive nature of the knowledge discovery process, utilizing the latest tools and techniques as applied to the COBRE projects.
Three aims lead the activities of the Core’s activities:
Aim 1: SERVICE: create a structure to support COBRE investigators
Aim 2: RESEARCH AND DEVELOPMENT: develop new techniques and algorithms that supplement the currently available off-the shelf and open-source packages
Aim 3: EDUCATION: introduce and train young and established investigators in the technologies available in the field of bioinformatics.
Background of Bioinformatics Core