Model, Integrate, Search... Repeat: A Sound Approach to Building Integrated Repositories of Genomic Data (Lecture Notes in Business Information Processing #496)
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This book is a revised version of the PhD dissertation written by the author to receive her PhD from the Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy.
The work deals with one of the central objectives of the European Research Council project “Data-Driven Genomic Computing”, i.e., building an integrated repository for genomic data. It reflects the research adventure that starts from modeling biological data, goes through the challenges of integrating complex data and their describing metadata and finally builds tools for searching the data empowered by a semantic layer. The results of this thesis are part of a broad vision: the availability of conceptual models, related databases, and search systems for both humans and viruses genomics will provide important opportunities for research, especially if virus data will be connected to its host, the human being, who is the provider of genomic and phenotype information.In 2023, the PhD dissertation won the CAiSE PhD Award, granted to outstanding PhD theses in the field of information systems engineering.
The book, Model, Integrate, Search... Repeat: A Sound Approach to Building Integrated Repositories of Genomic Data (Lecture Notes in Business Information Processing #496) [Bulk, Wholesale, Quantity] ISBN#9783031449062 in Paperback by Anna Bernasconi may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer Nature Switzerland
- Author
- Anna Bernasconi
- Format
- Paperback
- Published
- Dec 11, 2023
- ISBN-13
- 9783031449062
- Pages
- 270
- Printing
- Printed on demand
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| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $57.19 | 12% off list |
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| 100+ | $55.89 | 14% off list |
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Model, Integrate, Search... Repeat: A Sound Approach to Building Integrated Repositories of Genomic Data (Lecture Notes in Business Information Processing #496)
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