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Titlebook: Data Integration in the Life Sciences; Third International Ulf Leser,Felix Naumann,Barbara Eckman Conference proceedings 2006 Springer-Ver

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书目名称Data Integration in the Life Sciences
副标题Third International
编辑Ulf Leser,Felix Naumann,Barbara Eckman
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Data Integration in the Life Sciences; Third International  Ulf Leser,Felix Naumann,Barbara Eckman Conference proceedings 2006 Springer-Ver
描述Data management and data integration are fundamental problems in the life sciences. Advances in molecular biology and molecular medicine are almost u- versallyunderpinned by enormouse?orts in data management,data integration, automatic data quality assurance, and computational data analysis. Many hot topics in the life sciences, such as systems biology, personalized medicine, and pharmacogenomics, critically depend on integrating data sets and applications producedby di?erent experimentalmethods, in di?erent researchgroups,andat di?erent levels of granularity. Despite more than a decade of intensive research in these areas, there remain many unsolved problems. In some respects, these problems are becoming more severe, both due to continuous increases in data volumes and the growing diversity in types of data that need to be managed. And the next big challenge is already upon us: the need to integrate the di?- ent “omics” data sets with the vast amounts of clinical data, collected daily in thousands of hospitals and physicians’ o?ces all over the world. DILS 2006 is the third in an annual workshop series that aims at fostering discussion, exchange, and innovation in research and dev
出版日期Conference proceedings 2006
关键词Annotation; DOM; Web services; XML; bioinformatics; biomedical data analysis; clustering; data analysis; dat
版次1
doihttps://doi.org/10.1007/11799511
isbn_softcover978-3-540-36593-8
isbn_ebook978-3-540-36595-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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Data Access and Integration in the ISPIDER Proteomics Gridalysis. One scenario where Grid computing has such potential is provided by proteomics resources which are rapidly being developed with the emergence of affordable, reliable methods to study the proteome. The protein identifications arising from these methods derive from multiple repositories which
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Link Discovery in Graphs Derived from Biological Databaseshod for link discovery in biological databases, i.e., for prediction and evaluation of implicit or previously unknown connections between biological entities and concepts. In our framework, information extracted from available databases is represented as a graph, where vertices correspond to entitie
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SNP-Converter: An Ontology-Based Solution to Reconcile Heterogeneous SNP Descriptions for Pharmacogec variations, mostly known as Single Nucleotide Polymorphisms (SNP), are available today in various overlapping and heterogeneous databases. Selecting and extracting from these databases or from private sources a proper set of polymorphisms are the first steps of a KDD (Knowledge Discovery in Databa
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SABIO-RK: Integration and Curation of Reaction Kinetics DataABIO-RK, a curated database with information about biochemical reactions and their kinetic properties. The data are manually extracted from literature and verified by curators, concerning standards, formats and controlled vocabularies. This process is supported by tools in a semi-automatic manner. S
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SIBIOS Ontology: A Robust Package for the Integration and Pipelining of Bioinformatics Services. The advent of easily accessible biological web databases such as NCBI databases and associated tools such as BLAST are key components to this development. However, with the growing number of these web based biological research tools and data sources, the time necessary to invest in becoming a doma
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