Structural bioinformatics & Modeling of biological systems (Paperback)

Sid Ahmed Aouadj

ISBN 10: 620822330X / ISBN 13: 9786208223304

Verlag: LAP Lambert Academic Publishing, 2024

Beschreibung

Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Bestandsnummer des Verkäufers 9786208223304

Bibliografische Details

• Titel: Structural bioinformatics & Modeling of biological systems (Paperback)
• Verlag: LAP Lambert Academic Publishing
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 620822330X
• ISBN-13: 9786208223304
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

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.