| Title |
FlyOde - a platform for community curation and interactive visualization of dynamic gene regulatory networks in Drosophila eye development
|
|---|---|
| Published in |
F1000 Research, December 2015
|
| DOI | 10.12688/f1000research.7556.1 |
| Pubmed ID | |
| Authors | |
| Abstract |
Understanding the regulatory mechanisms governing eye development of the model organism Drosophila melanogaster (D. m.) requires structured knowledge of the involved genes and proteins, their interactions, and dynamic expression patterns. Especially the latter information is however to a large extent scattered throughout the literature. FlyOde is an online platform for the systematic assembly of data on D. m. eye development. It consists of data on eye development obtained from the literature, and a web interface for users to interactively display these data as a gene regulatory network. Our manual curation process provides high standard structured data, following a specifically designed ontology. Visualization of gene interactions provides an overview of network topology, and filtering according to user-defined expression patterns makes it a versatile tool for daily tasks, as demonstrated by usage examples. Users are encouraged to submit additional data via a simple online form. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| India | 1 | 17% |
| Germany | 1 | 17% |
| France | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 83% |
| Members of the public | 1 | 17% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 43% |
| Professor > Associate Professor | 2 | 14% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Agricultural and Biological Sciences | 3 | 21% |
| Computer Science | 1 | 7% |
| Neuroscience | 1 | 7% |
| Chemistry | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 21% |