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20160109 – BridGE (Bridging Gene Sets with Epistasis) is an innovative computational method that explicitly searches for disease-specific genetic interactions between single nucleotide polymorphisms (SNPs) in Genome-wide Association Studies (GWAS) data. The algorithm searches for larger, non-random structures of SNP-SNP interactions, guided by established sets of genes belonging to characterized... Read More
20150084 – Potential food threats and adverse food events can quickly be identified and shared with food and agriculture stakeholders using the Focused Integration of Data for Early Signals (FIDES) tool. Initiated by the Food Protection and Defense Institute, FIDES integrates big data compiled from non-traditional sources (e.g., trade, economics, meteorology, global policies, social media,... Read More
20150081 – Through use of an open-source commodity computing platform Apache Hadoop, and an extension labeled Spatial Hadoop, it is possible to perform spatial analysis on large quantities of location and GPS data. Please Note: SpatialHadoop has been adopted by the Eclipse Foundation under the name GeoJinni. Today’s availability of big data sets brings high demand for computational power.... Read More
20140194-20150025 – Given the emphasis put on empirical evidence in modern science, scientific datasets are a huge component of publications and research documents. Much of this data is useful to future studies, and needs proper data annotation so that the datasets can be found in an online search. Unfortunately, most datasets lack annotations and context that facilitate searching. The need for proper... Read More
20130326 – The BullConverter and Report software package is designed to convert, analyze, and report on Weigh in Motion (WIM) data. This software package includes: Applications include freight analysis, traffic speed analysis and enforcement, weight violation analysis, traffic forecast, pavement design, pavement life forecast, asset management, permit system, and decision support system. ... Read More
98039 – METIS is a set of serial programs for graph partitioning, finite element analysis, and fill order reduction for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes developed in the University of Minnesota’s Digital Technology Center (DTC) labs. METIS produces graph... Read More
