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Model, Integrate, Search... Repeat: A Sound Approach to Building Integrated Repositories of Genomic Data: Lecture Notes in Business Information Processing, cartea 496

Autor Anna Bernasconi
en Limba Engleză Paperback – 11 dec 2023
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.


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Specificații

ISBN-13: 9783031449062
ISBN-10: 3031449061
Ilustrații: XIX, 270 p. 68 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Business Information Processing

Locul publicării:Cham, Switzerland

Cuprins




Textul de pe ultima copertă

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.



Caracteristici

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