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020 _a9783031449079
024 7 _a10.1007/978-3-031-44907-9
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQH441.2
_b2023 EB
100 1 _aBernasconi, Anna Maria
_eautor
_9689604
245 1 0 _aModel, Integrate, Search Repeat :
_bA Sound Approach to Building Integrated Repositories of Genomic Data
_cby Anna Bernasconi
250 _a1st ed 2023
264 1 _aCham
_bSpringer Nature Switzerland
_c2023
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aLecture Notes in Business Information Processing
_x1865-1356
_v496
520 _aThis 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.
988 _aSpringer_Computer_2023
650 7 _2embne
_9164326
_aGenómica
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-44907-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2024
_dz
_eu
_zSI