By Amandeep S. Sidhu
Compared with information from normal software domain names, sleek organic information has many targeted features. organic facts are frequently characterised as having huge volumes, advanced buildings, excessive dimensionality, evolving organic techniques, and inadequate information modelling practices. during the last a number of years, bioinformatics has turn into an all-encompassing time period for every thing in terms of either desktop technology and biology. The target of this ebook is to hide information and functions determining new matters and instructions for destiny examine in biomedical area. The ebook becomes an invaluable advisor studying cutting-edge improvement in biomedical info administration, data-intensive bioinformatics platforms, and different miscellaneous organic database purposes. The ebook addresses numerous subject matters in bioinformatics with various levels of stability among biomedical facts versions and their real-world applications.
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Additional resources for Biomedical Data and Applications
INFORMATION SCIENCE: Going, Going, Gone: Lost Internet References (2003) 25. : GoPubMed: exploring PubMed with the Gene Ontology. Nucl. Acids Res. 33(suppl. 2), W783–W786 (2005) 26. : Knowledge guided analysis of microarray data, pp. 401–411 (2006) 27. : Introduction to bioinformatics. JASIST 56(5), 440–446 (2005) 28. : The Grid: Blueprint for a Future Computing Infrastructure. Morgan Kaufmann Publishers, San Francisco (1998) 29. : Brain meets brawn: Why grid and agents need each other. In: AAMAS, pp.
As a result of this work, in this chapter we will discuss the 74 genomic databases we have analyzed, specifying the main features they have in common and the diﬀerences among them in terms of both biological and database technologies oriented points of views. , ﬂat ﬁles or XML formats). Section 2 is devoted to the illustration of such an analysis, and a subsection for each particular criterium under which the selected genomic databases have been analyzed in detail is included. To facilitate the full understanding of the discussion, the mentioned classiﬁcation criteria would be also graphically illustrated by some graphs.
Such an analysis has been done mainly focusing on a database technology point of view, by choosing ﬁve speciﬁc criteria under which all the considered databases have been investigated. Thus, the considered databases have been classiﬁed according to such criteria and their synthetic descriptions are given, with the aim of providing a preliminary instrument to access and manage more easily the enormous amount of data coming from the biological repositories. References 1. 2. 3. 4. 5. 6. fr/CandidaDB 7.
Biomedical Data and Applications by Amandeep S. Sidhu