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Modeling compositional dynamics based on GC and purine contents of protein-coding sequences

Overview of attention for article published in Biology Direct, November 2010
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Title
Modeling compositional dynamics based on GC and purine contents of protein-coding sequences
Published in
Biology Direct, November 2010
DOI 10.1186/1745-6150-5-63
Pubmed ID
Authors

Zhang Zhang, Jun Yu

Abstract

Understanding the compositional dynamics of genomes and their coding sequences is of great significance in gaining clues into molecular evolution and a large number of publically-available genome sequences have allowed us to quantitatively predict deviations of empirical data from their theoretical counterparts. However, the quantification of theoretical compositional variations for a wide diversity of genomes remains a major challenge.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
China 1 4%
Italy 1 4%
Canada 1 4%
Unknown 20 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Researcher 4 17%
Student > Postgraduate 3 13%
Student > Master 3 13%
Professor > Associate Professor 3 13%
Other 3 13%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 54%
Biochemistry, Genetics and Molecular Biology 4 17%
Engineering 2 8%
Earth and Planetary Sciences 2 8%
Mathematics 1 4%
Other 2 8%