000			02186nam a2200325Ia 4500
000			02506nam a22003375i 4500
001			978-3-031-44907-9
003			DE-He213
005			20240319121212.0
007			cr nn 008mamaa
008			231210s2023 sz | s |||| 0|eng d
020			_a9783031449079 _9978-3-031-44907-9
082			_a5.3
100			_aBernasconi, Anna. _941085
245			_aModel, Integrate, Search... Repeat _cby Anna Bernasconi. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXIX, 270 p. 68 illus. _bonline resource.
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.
650			_aApplication software. _941086
650			_aArtificial intelligence _941087
650			_aBioinformatics. _941088
650			_aBioinformatics. _941088
650			_aComputer and Information Systems Applications. _941089
650			_aData Analysis and Big Data. _941090
650			_aData Science. _941091
650			_aQuantitative research. _941092
856			_uhttps://doi.org/10.1007/978-3-031-44907-9
942			_cEBK _2ddc
999			_c16002 _d16002