Title |
DFLAT: functional annotation for human development
|
---|---|
Published in |
BMC Bioinformatics, February 2014
|
DOI | 10.1186/1471-2105-15-45 |
Pubmed ID | |
Authors |
Heather C Wick, Harold Drabkin, Huy Ngu, Michael Sackman, Craig Fournier, Jessica Haggett, Judith A Blake, Diana W Bianchi, Donna K Slonim |
Abstract |
Recent increases in genomic studies of the developing human fetus and neonate have led to a need for widespread characterization of the functional roles of genes at different developmental stages. The Gene Ontology (GO), a valuable and widely-used resource for characterizing gene function, offers perhaps the most suitable functional annotation system for this purpose. However, due in part to the difficulty of studying molecular genetic effects in humans, even the current collection of comprehensive GO annotations for human genes and gene products often lacks adequate developmental context for scientists wishing to study gene function in the human fetus. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 1 | 3% |
Unknown | 33 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 10 | 29% |
Student > Ph. D. Student | 8 | 24% |
Unspecified | 4 | 12% |
Student > Postgraduate | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 4 | 12% |
Unknown | 4 | 12% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 7 | 21% |
Unspecified | 4 | 12% |
Biochemistry, Genetics and Molecular Biology | 4 | 12% |
Immunology and Microbiology | 4 | 12% |
Computer Science | 4 | 12% |
Other | 6 | 18% |
Unknown | 5 | 15% |