Title |
phyloXML: XML for evolutionary biology and comparative genomics
|
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Published in |
BMC Bioinformatics, October 2009
|
DOI | 10.1186/1471-2105-10-356 |
Pubmed ID | |
Authors |
Mira V Han, Christian M Zmasek |
Abstract |
Evolutionary trees are central to a wide range of biological studies. In many of these studies, tree nodes and branches need to be associated (or annotated) with various attributes. For example, in studies concerned with organismal relationships, tree nodes are associated with taxonomic names, whereas tree branches have lengths and oftentimes support values. Gene trees used in comparative genomics or phylogenomics are usually annotated with taxonomic information, genome-related data, such as gene names and functional annotations, as well as events such as gene duplications, speciations, or exon shufflings, combined with information related to the evolutionary tree itself. The data standards currently used for evolutionary trees have limited capacities to incorporate such annotations of different data types. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 17 | 5% |
Germany | 6 | 2% |
China | 4 | 1% |
Brazil | 4 | 1% |
United Kingdom | 4 | 1% |
Spain | 3 | <1% |
Australia | 3 | <1% |
Sweden | 3 | <1% |
Portugal | 2 | <1% |
Other | 16 | 4% |
Unknown | 310 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 95 | 26% |
Student > Ph. D. Student | 90 | 24% |
Student > Master | 42 | 11% |
Student > Bachelor | 34 | 9% |
Student > Postgraduate | 17 | 5% |
Other | 65 | 17% |
Unknown | 29 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 212 | 57% |
Biochemistry, Genetics and Molecular Biology | 52 | 14% |
Environmental Science | 21 | 6% |
Computer Science | 18 | 5% |
Immunology and Microbiology | 6 | 2% |
Other | 26 | 7% |
Unknown | 37 | 10% |