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Mendeley readers
| Chapter title |
Identifying Optimal Models of Evolution.
|
|---|---|
| Chapter number | 15 |
| Book title |
Bioinformatics
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6622-6_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6620-2, 978-1-4939-6622-6
|
| Authors |
Lars S. Jermiin, Vivek Jayaswal, Faisal M. Ababneh, John Robinson |
| Editors |
Jonathan M. Keith |
| Abstract |
Most phylogenetic methods are model-based and depend on models of evolution designed to approximate the evolutionary processes. Several methods have been developed to identify suitable models of evolution for phylogenetic analysis of alignments of nucleotide or amino acid sequences and some of these methods are now firmly embedded in the phylogenetic protocol. However, in a disturbingly large number of cases, it appears that these models were used without acknowledgement of their inherent shortcomings. In this chapter, we discuss the problem of model selection and show how some of the inherent shortcomings may be identified and overcome. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 27% |
| Researcher | 6 | 23% |
| Student > Doctoral Student | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 46% |
| Biochemistry, Genetics and Molecular Biology | 5 | 19% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Computer Science | 1 | 4% |
| Earth and Planetary Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 19% |