New PDF release: Database Systems for Advanced Applications: 9th

By Shamkant B. Navathe, Upen Patil (auth.), YoonJoon Lee, Jianzhong Li, Kyu-Young Whang, Doheon Lee (eds.)

ISBN-10: 3540210474

ISBN-13: 9783540210474

This ebook constitutes the refereed complaints of the ninth foreign convention on Database platforms for complicated purposes, DASFAA 2004, held in Jeju Island, Korea in March 2004.

The 60 revised complete papers and 18 revised brief papers awarded including 2 invited articles have been rigorously reviewed and seleted from 272 submissions. The papers are geared up in topical sections on entry tools, question processing in XML, defense and integrity, question processing in temporal and spatial databases, semi-structured databases, wisdom discovery in temporal and spatial databases, XML and multimedia and information discovery on the net, question processing and optimization, category and clustering, net seek, cellular databases, parallel and disbursed databases, and multimedia databases.

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Read or Download Database Systems for Advanced Applications: 9th International Conference, DASFAA 2004, Jeju Island, Korea, March 17-19, 2003. Proceedings, PDF

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Extra info for Database Systems for Advanced Applications: 9th International Conference, DASFAA 2004, Jeju Island, Korea, March 17-19, 2003. Proceedings,

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With upto 10,000 Genomic and Proteomic Databases and Applications 19 genes per experiment, the problem of how to further study the identified genes remains. This is where the project Genetrek we have described above comes in. Disease Diagnosis Microarrays have helped us understand the functions of individual genes. They are also proving to be an essential tool for understanding diseases processes and identifying new diseases (Meltzer, 2001). Until recently disease diagnosis was done by identifying defects at the tissue or cellular level, but with microarrays the shift towards using positional cloning in identifying the underlying patho-mechanisms in human disease, has proved to be a successful step.

3 Data Interpretation and Metadata Management A very important problem with biological data is to provide enough metadata so as to allow the scientist to interpret it. Toward this end, various techniques are employed: A) Annotation: The annotation process involves adding reliable and up-to-date information as possible to describe a sequence, or in other words adding biological meaning to raw sequence data using known publications, articles and databases. Proteins are better sources for annotation than DNA because each amino acid has different properties like size, charge and closer to biological function in terms of evolution.

Biological database interfaces should display information to users in a manner that is applicable to the problem they are trying to address and that reflects the underlying data structure. Biological users usually know which data they require, but have little technical knowledge of the data structure or how a dbms represents the data. They rely on technical users to provide them with views into the database. Relational schemas fail to provide cues or any intuitive information to the user regarding the meaning of their schema.

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Database Systems for Advanced Applications: 9th International Conference, DASFAA 2004, Jeju Island, Korea, March 17-19, 2003. Proceedings, by Shamkant B. Navathe, Upen Patil (auth.), YoonJoon Lee, Jianzhong Li, Kyu-Young Whang, Doheon Lee (eds.)


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