Title |
R2R - software to speed the depiction of aesthetic consensus RNA secondary structures
|
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Published in |
BMC Bioinformatics, January 2011
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DOI | 10.1186/1471-2105-12-3 |
Pubmed ID | |
Authors |
Zasha Weinberg, Ronald R Breaker |
Abstract |
With continuing identification of novel structured noncoding RNAs, there is an increasing need to create schematic diagrams showing the consensus features of these molecules. RNA structural diagrams are typically made either with general-purpose drawing programs like Adobe Illustrator, or with automated or interactive programs specific to RNA. Unfortunately, the use of applications like Illustrator is extremely time consuming, while existing RNA-specific programs produce figures that are useful, but usually not of the same aesthetic quality as those produced at great cost in Illustrator. Additionally, most existing RNA-specific applications are designed for drawing single RNA molecules, not consensus diagrams. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
New Zealand | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 4% |
Brazil | 3 | 2% |
Germany | 2 | 1% |
United Kingdom | 2 | 1% |
India | 1 | <1% |
France | 1 | <1% |
Belgium | 1 | <1% |
Norway | 1 | <1% |
Unknown | 122 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 37 | 27% |
Researcher | 32 | 23% |
Professor > Associate Professor | 11 | 8% |
Student > Master | 10 | 7% |
Student > Doctoral Student | 9 | 7% |
Other | 22 | 16% |
Unknown | 17 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 60 | 43% |
Biochemistry, Genetics and Molecular Biology | 31 | 22% |
Computer Science | 8 | 6% |
Chemistry | 6 | 4% |
Nursing and Health Professions | 2 | 1% |
Other | 8 | 6% |
Unknown | 23 | 17% |