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- W2181732260 abstract "AbstrACt Systems biology has undergone an explosive growth in recent times. The staggering amount of expression data that can now be obtained from microarray chip analysis and high‑throughput in situ screens has lent itself to the creation of large, terabyte‑capacity databases in which to house gene expression patterns. Furthermore, innovative methods can be used to interrogate these databases and to link genomic information to functional information of embryonic cells, tissues and organs. These formidable advancements have led to the development of a whole host of online resources that have allowed biologists to probe the mysteries of growth and form with renewed zeal. This review seeks to highlight general features of these databases, and to identify the methods by which expression data can be retrieved. Databases are structured repositories. They appeal to both the bioinformatician and the biologist alike by providing raw datasets and semantic information relating to interpretation of biological data. World Wide Web-accessible databases that attempt to link genome sequence to functional information have been developed for many model organisms of development including the slime mould" @default.
- W2181732260 created "2016-06-24" @default.
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- W2181732260 date "2007-01-01" @default.
- W2181732260 modified "2023-09-24" @default.
- W2181732260 title "How to Archive, Find and Query Gene Expression Patterns Using the World Wide Web" @default.
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