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Mendeley readers
Title |
γ-MYN: a new algorithm for estimating Ka and Ks with consideration of variable substitution rates
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Published in |
Biology Direct, June 2009
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DOI | 10.1186/1745-6150-4-20 |
Pubmed ID | |
Authors |
Da-Peng Wang, Hao-Lei Wan, Song Zhang, Jun Yu |
Abstract |
Over the past two decades, there have been several approximate methods that adopt different mutation models and used for estimating nonsynonymous and synonymous substitution rates (Ka and Ks) based on protein-coding sequences across species or even different evolutionary lineages. Among them, MYN method (a Modified version of Yang-Nielsen method) considers three major dynamic features of evolving DNA sequences-bias in transition/transversion rate, nucleotide frequency, and unequal transitional substitution but leaves out another important feature: unequal substitution rates among different sites or nucleotide positions. |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 2% |
Netherlands | 1 | 2% |
Brazil | 1 | 2% |
Canada | 1 | 2% |
Spain | 1 | 2% |
United States | 1 | 2% |
Unknown | 46 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 31% |
Student > Ph. D. Student | 12 | 23% |
Professor | 8 | 15% |
Student > Bachelor | 2 | 4% |
Professor > Associate Professor | 2 | 4% |
Other | 4 | 8% |
Unknown | 8 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 27 | 52% |
Biochemistry, Genetics and Molecular Biology | 11 | 21% |
Chemical Engineering | 1 | 2% |
Unspecified | 1 | 2% |
Computer Science | 1 | 2% |
Other | 1 | 2% |
Unknown | 10 | 19% |