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A model system for studying the integration of molecular biology databases.
Author(s) -
John MacAuley,
Hao Wang,
Nathan Goodman
Publication year - 1998
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/14.7.575
Subject(s) - genbank , database , biological database , genome , construct (python library) , computer science , human genome , computational biology , biology , gene , bioinformatics , genetics , programming language
Integration of molecular biology databases remains limited in practice despite its practical importance and considerable research effort. The complexity of the problem is such that an experimental approach is mandatory, yet this very complexity makes it hard to design definitive experiments. This dilemma is common in science, and one tried-and-true strategy is to work with model systems. We propose a model system for this problem, namely a database of genes integrating diverse data across organisms, and describe an experiment using this model.

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