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Titlebook: Data Integration in the Life Sciences; Second International Bertram Ludäscher,Louiqa Raschid Conference proceedings 2005 Springer-Verlag Be

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楼主: osteomalacia
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Helena Wahlström Henriksson,Klara Goedeckeces include: i) XML records of GENBANK to annotate gene sequence features, integrated using a schema mapping approach, ii) an inhouse relational database that stores detailed experimental data on the liver genes and is a permanent source for providing expression levels to the warehouse without unnec
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Catrine Andersson,Charlotta Carlströmes that are distributed among SWISSPROT and MIPS data sources. Mappings such as EC2GO and MIPS2GO were used to resolve the semantic differences between these data sources when answering queries posed by the learning algorithms. Our results show that INDUS can be successfully used for integrative ana
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Close Relationship Loss As a Set of Inkblotspecific larger experiment, this information is fed back into the LIMS system to notify supervisors and users. Eventually, qualitative and quantitative results are released to the public for downloads or complex queries.
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Challenges in Biological Data Integration in the Post-genome Sequence Eraists to visualize and present the results of analysis in the most intuitive and user-friendly manner. This talk will address several of the challenges posed by enormous need for scientific data integration in biology with specific exemplars and strategies. The issues addressed will include:.– Archit
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Learning Layouts of Biological Datasets Semi-automaticallyating a layout descriptor based on the relative order in which the delimiters occur. Our final step is to generate a parser based on the layout descriptor. Our heuristics for finding the delimiters has been evaluated using three popular flat-file biological datasets.
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Scientific Names Are Ambiguous as Identifiers for Biological Taxa: Their Context and Definition Are his schema will facilitate the development of taxonomic name/concept resolution services, allowing the meaningful integration and comparison of biological datasets, with greater accuracy than on the basis of name alone.
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Knowledge-Based Integrative Framework for Hypothesis Formation in Biochemical Networkslisms are mostly monotonic and are now known to be not quite suitable for knowledge representation, especially in dealing with incomplete knowledge, which is often the case with respect to biochemical networks. We present a knowledge based framework for the general problem of hypothesis formation. T
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Semantic Correspondence in Federated Life Science Data Integration Systemsd by BACIIS, the Biological and Chemical Information Integration System, for providing data provenance and for supporting refinement queries over integrated data. Semantic correspondence between records from different sources is defined based on the links connecting these data sources including cros
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Integrating and Warehousing Liver Gene Expression Data and Related Biomedical Resources in GEDAWces include: i) XML records of GENBANK to annotate gene sequence features, integrated using a schema mapping approach, ii) an inhouse relational database that stores detailed experimental data on the liver genes and is a permanent source for providing expression levels to the warehouse without unnec
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