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| 003 | ES-MaUEC | ||
| 005 | 20240429180435.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 231210s2023 sz | o |||| 0|eng d | ||
| 020 | _a9783031449079 | ||
| 024 | 7 |
_a10.1007/978-3-031-44907-9 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQH441.2 _b2023 EB |
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| 100 | 1 |
_aBernasconi, Anna Maria _eautor _9689604 |
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| 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 |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 0 |
_aLecture Notes in Business Information Processing _x1865-1356 _v496 |
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| 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 |
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| 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 |
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| 998 |
_b02/2024 _dz _eu _zSI |
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