Title |
RNACompress: Grammar-based compression and informational complexity measurement of RNA secondary structure
|
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Published in |
BMC Bioinformatics, March 2008
|
DOI | 10.1186/1471-2105-9-176 |
Pubmed ID | |
Authors |
Qi Liu, Yu Yang, Chun Chen, Jiajun Bu, Yin Zhang, Xiuzi Ye |
Abstract |
With the rapid emergence of RNA databases and newly identified non-coding RNAs, an efficient compression algorithm for RNA sequence and structural information is needed for the storage and analysis of such data. Although several algorithms for compressing DNA sequences have been proposed, none of them are suitable for the compression of RNA sequences with their secondary structures simultaneously. This kind of compression not only facilitates the maintenance of RNA data, but also supplies a novel way to measure the informational complexity of RNA structural data, raising the possibility of studying the relationship between the functional activities of RNA structures and their complexities, as well as various structural properties of RNA based on compression. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 6% |
Indonesia | 2 | 6% |
Germany | 1 | 3% |
France | 1 | 3% |
Finland | 1 | 3% |
China | 1 | 3% |
Unknown | 28 | 78% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 25% |
Student > Bachelor | 6 | 17% |
Student > Postgraduate | 5 | 14% |
Student > Master | 4 | 11% |
Other | 3 | 8% |
Other | 8 | 22% |
Unknown | 1 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 31% |
Agricultural and Biological Sciences | 7 | 19% |
Social Sciences | 6 | 17% |
Biochemistry, Genetics and Molecular Biology | 3 | 8% |
Chemistry | 2 | 6% |
Other | 6 | 17% |
Unknown | 1 | 3% |