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Taschenbuch. Condition: Neu. Structural bioinformatics & Modeling of biological systems | Dr. Aouadj Sid Ahmed (Relizane, Algeria) Dr. Khatir Hadj (Montreal, Canada) | Sid Ahmed Aouadj (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208223304 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Englisch.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Databases dedicated to molecular biology are an essential complement to literature data. Today there is a very wide variety of heterogeneous databases. This diversity is, of course, explained by the variety of biological data, which are not limited to sequences, but also by the variety of objectives which governed their design. The major problem in the management of biological data therefore does not result so much from their volume as from this heterogeneity, both in terms of nature and format. The fundamental question is therefore how to integrate these biological data in order to make them accessible and usable as easily as if they appeared in a same database. Examination of the different technical solutions proposed highlights the need, in all cases, to explain and formally represent the entities concerned and their relationships. A simple but complete modeling example illustrates this approach.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
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Published by LAP LAMBERT Academic Publishing, 2024
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Databases dedicated to molecular biology are an essential complement to literature data. Today there is a very wide variety of heterogeneous databases. This diversity is, of course, explained by the variety of biological data, which are not limited to sequences, but also by the variety of objectives which governed their design. The major problem in the management of biological data therefore does not result so much from their volume as from this heterogeneity, both in terms of nature and format. The fundamental question is therefore how to integrate these biological data in order to make them accessible and usable as easily as if they appeared in a same database. Examination of the different technical solutions proposed highlights the need, in all cases, to explain and formally represent the entities concerned and their relationships. A simple but complete modeling example illustrates this approach.