Overview
- Won the CAiSE 2023 PhD award for an outstanding theses in the field of information systems engineering
- Presents a model for human genomic data integration in a continuously updated repository
- Describes a metadata model that is exploited for searches over viral sequences
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 496)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (13 chapters)
-
Front Matter
-
Human Genomic Data Integration
-
Front Matter
-
-
Viral Sequence Data Integration
-
Front Matter
-
-
Epilogue
-
Front Matter
-
-
Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Model, Integrate, Search... Repeat
Book Subtitle: A Sound Approach to Building Integrated Repositories of Genomic Data
Authors: Anna Bernasconi
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-031-44907-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-44906-2Published: 11 December 2023
eBook ISBN: 978-3-031-44907-9Published: 10 December 2023
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: XIX, 270
Number of Illustrations: 68 b/w illustrations
Topics: Computer Applications, Bioinformatics, Statistics, general, Data Structures and Information Theory, Artificial Intelligence