phyloXML: XML for evolutionary biology and comparative genomics

By Mira V. Han, Christian M. Zmasek. BMC Bioinformatics, 2009

560 citations recorded by the source corpus.

BackgroundEvolutionary 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.ResultsWe developed a XML language, named phyloXML, for describing evolutionary trees, as well as various associated data items. PhyloXML provides elements for commonly used items, such as branch lengths, support values, taxonomic names, and gene names and identifiers. By using "property" elements, phyloXML can be adapted to novel and unforeseen use cases. We also developed various software tools for reading, writing, conversion, and visualization of phyloXML formatted data.ConclusionPhyloXML is an XML language defined by a complete schema in XSD that allows storing and exchanging the structures of evolutionary trees as well as associated data. More information about phyloXML itself, the XSD schema, as well as tools implementing and supporting phyloXML, is available at http://www.phyloxml.org.

Subfields: Ecology, Evolution, Behavior and Systematics, Molecular Biology, Paleontology

View Paper: https://www.semanticscholar.org/paper/e9c68b4983f5f0bc12c8cb6c5402521009267e7a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

  1. Ivica Letunic
  2. Peer Bork
  3. Kazutaka Katoh
  4. Frederick Albert Matsen IV
  5. M. E T H O D O L O G Y A R T I C
  6. Robin B. Kodner
  7. V. Armbrust
  8. Shigehiro Kuraku

In Molecular Biology

  1. Peer Bork
  2. Ivica Letunic
  3. Curtis Huttenhower
  4. Nicola Segata
  5. Nikos Kyrpides
  6. F. Asnicar
  7. George Weingart
  8. Kazutaka Katoh

In Paleontology

  1. Peer Bork
  2. Ivica Letunic
  3. Kazutaka Katoh
  4. Frederick Albert Matsen IV
  5. M. E T H O D O L O G Y A R T I C
  6. Robin B. Kodner
  7. V. Armbrust
  8. Shigehiro Kuraku

Citations in the corpus