omniBiomarker Gene Ranking Algorithms
omniBiomarker's gene ranking algorithms include a mixture of common univariate and multivariate filter methods, including
Distributed Grid Computing with BOINC
We use the Berkeley Open Infrastructure for Network Computing (BOINC) as the framework for omniBiomarker's high-performance computing. BOINC, which is used for volunteer-based scientific computing projects such as Folding@Home and Genome@Home, is a desirable computing framework for omniBiomarker due to its scalability.7 Although we only use BOINC as a desktop grid computing solution, its flexibility enables us to potentially expand to volunteer-based computing in order to more effectively analyze the increasing amounts of gene expression data, biological knowledge, and biomarker identification algorithms.
caBIG Analytical Grid Services
The accessibility of bioinformatics tools has become increasingly important as the gap between clinical applications and bioinformatics narrows. To improve the accessibility of omniBiomarker, we have developed Cancer Biomedical Informatics Grid (caBIG) Silver Level compliant grid services to access basic gene ranking and data retrieval functions. caBIG certification increases the interoperability of omniBiomarker's functionality with other bioinformatics tools in the cancer research community. Currently, omniBiomarker includes two grid services:
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