| 書目名稱 | Data Integration in the Life Sciences | | 副標題 | 5th International Wo | | 編輯 | Amos Bairoch,Sarah Cohen-Boulakia,Christine Froide | | 視頻video | http://file.papertrans.cn/263/262826/262826.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | For several years now, there has been an exponential growth of the amount of life science data (e. g. , sequenced complete genomes, 3D structures, DNA chips, mass spectroscopy data), most of which are generated by high-throughput - periments. This exponentialcorpusof data is storedand made availablethrough a large number of databases and resources over the Web, but unfortunately still with a high degreeof semantic heterogeneity and varying levels of quality. These data must be combined together and processed by bioinformatics tools deployed on powerful and e?cient platforms to permit the uncovering of patterns, s- ilarities and in general to help in the process of discovery. Analyzing complex, voluminous, and heterogeneous data and guiding the analysis of data are thus of paramount importance and necessitate the involvement of data integration techniques. DILS 2008 was the ?fth in a workshop series that aims at fostering disc- sion, exchange, and innovation in research and development in the area of data integration for the life sciences. Each previous DILS workshop attracted around 100 researchers from all over the world and saw an increase of submitted - pers over the preceding o | | 出版日期 | Conference proceedings 2008 | | 關(guān)鍵詞 | Clustering; annotation; architectures; association rule mining; bioinformatics; biology; biomedical data a | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-69828-9 | | isbn_ebook | 978-3-540-69828-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2008 |
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