Title |
A domain-centric solution to functional genomics via dcGO Predictor
|
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Published in |
BMC Bioinformatics, February 2013
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DOI | 10.1186/1471-2105-14-s3-s9 |
Pubmed ID | |
Authors |
Hai Fang, Julian Gough |
Abstract |
Computational/manual annotations of protein functions are one of the first routes to making sense of a newly sequenced genome. Protein domain predictions form an essential part of this annotation process. This is due to the natural modularity of proteins with domains as structural, evolutionary and functional units. Sometimes two, three, or more adjacent domains (called supra-domains) are the operational unit responsible for a function, e.g. via a binding site at the interface. These supra-domains have contributed to functional diversification in higher organisms. Traditionally functional ontologies have been applied to individual proteins, rather than families of related domains and supra-domains. We expect, however, to some extent functional signals can be carried by protein domains and supra-domains, and consequently used in function prediction and functional genomics. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 6 | 16% |
Japan | 1 | 3% |
France | 1 | 3% |
Unknown | 29 | 78% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 10 | 27% |
Researcher | 8 | 22% |
Professor | 3 | 8% |
Student > Master | 3 | 8% |
Student > Bachelor | 2 | 5% |
Other | 8 | 22% |
Unknown | 3 | 8% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 12 | 32% |
Agricultural and Biological Sciences | 9 | 24% |
Computer Science | 6 | 16% |
Medicine and Dentistry | 3 | 8% |
Engineering | 2 | 5% |
Other | 0 | 0% |
Unknown | 5 | 14% |