Barbara A. Eckman

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B. A. Eckman C. A. Bennett J. H. Kaufman J. W. Tenner Health-care costs are rising dramatically. Errors in medical delivery are associated with an alarming number of preventable, often fatal adverse events. A promising strategy for reversing these trends is to modernize and transform the health-care information exchange (HIE), that is, the mobilization of(More)
MOTIVATION To identify and characterize regions of functional interest in genomic sequence requires full, flexible query access to an integrated, up-to-date view of all related information, irrespective of where it is stored (within an organization or across the Internet) and its format (traditional database, flat file, web site, results of runtime(More)
Human Genome Project databases present a confluence of interesting database challenges: rapid schema and data evolution, complex data entry and constraint management, and the need to integrate multiple data sources and software systems which range over a wide variety of models and formats. While these challenges are not necessarily unique to biological(More)
Today, scientific data are inevitably digitized, stored in a wide variety of formats, and are accessible over the Internet. Scientific discovery increasingly involves accessing multiple heterogeneous data sources, integrating the results of complex queries, and applying further analysis and visualization applications in order to collect datasets of(More)
We address the challenges of supporting scientific workflow design for a bioinformatics pipeline (BIP) to detect alternative splicing of an organism’s genes. Scientific workflows depend significantly on the selection of the resources (data sources and applications) selected for their implementation. In addition, each implementation of a workflow may(More)
MOTIVATION To make effective use of the vast amounts of expressed sequence tag (EST) sequence data generated by the Merck-sponsored EST project and other similar efforts, sequences must be organized into gene classes, and scientists must be able to 'mine' the gene class data in the context of related genomic data. RESULTS This paper presents the Merck(More)
Data management is of critical importance in bioinformatics. If the central task of bioinformatics is the computational analysis of biological sequences, structures, and relationships, it is crucial that biological sequences and all associated data be accurately captured, annotated, and maintained, even in the face of rapid growth and frequent updates. It(More)
As high-throughput biology begins to generate large volumes of systems biology data, the need grows for robust, efficient database systems to support investigations of metabolic and signaling pathways, chemical reaction networks, gene regulatory networks, and protein interaction networks. Network data is frequently represented as graphs, and researchers(More)