Title |
ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data
|
---|---|
Published in |
Molecular Biology and Evolution, February 2016
|
DOI | 10.1093/molbev/msw046 |
Pubmed ID | |
Authors |
Jaime Huerta-Cepas, François Serra, Peer Bork |
Abstract |
The Environment for Tree Exploration (ETE) is a computational framework that simplifies the reconstruction, analysis and visualization of phylogenetic trees and multiple sequence alignments. Here we present ETE v3, featuring numerous improvements in the underlying library of methods, and providing a novel set of standalone tools to perform common tasks in comparative genomics and phylogenetics. The new features include i) building gene-based and supermatrix-based phylogenies using a single command, ii) testing and visualizing evolutionary models, iii) calculating distances between trees of different size or including duplications, and iv) providing seamless integration with the NCBI taxonomy database. ETE is freely available at http://etetoolkit.org. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 28% |
Australia | 3 | 8% |
Spain | 3 | 8% |
France | 2 | 6% |
Netherlands | 2 | 6% |
Sweden | 2 | 6% |
China | 1 | 3% |
Czechia | 1 | 3% |
Finland | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 28% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 26 | 72% |
Members of the public | 10 | 28% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 8 | <1% |
United States | 5 | <1% |
Spain | 4 | <1% |
France | 2 | <1% |
Canada | 2 | <1% |
Austria | 1 | <1% |
Brazil | 1 | <1% |
South Africa | 1 | <1% |
Czechia | 1 | <1% |
Other | 6 | <1% |
Unknown | 952 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 213 | 22% |
Researcher | 186 | 19% |
Student > Master | 124 | 13% |
Student > Bachelor | 124 | 13% |
Student > Doctoral Student | 42 | 4% |
Other | 116 | 12% |
Unknown | 178 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 309 | 31% |
Biochemistry, Genetics and Molecular Biology | 284 | 29% |
Computer Science | 40 | 4% |
Immunology and Microbiology | 28 | 3% |
Environmental Science | 18 | 2% |
Other | 75 | 8% |
Unknown | 229 | 23% |