Publication: Tree reconciliation combined with subsampling improves large scale inference of orthologous group hierarchies
Tree reconciliation combined with subsampling improves large scale inference of orthologous group hierarchies
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Heller, D., Szklarczyk, D., & von Mering, C. (2019). Tree reconciliation combined with subsampling improves large scale inference of orthologous group hierarchies. BMC Bioinformatics, 20, 228. https://doi.org/10.1186/s12859-019-2828-z
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Background: An orthologous group (OG) comprises a set of orthologous and paralogous genes that share a last common ancestor (LCA). OGs are defined with respect to a chosen taxonomic level, which delimits the position of the LCA in time to a specified speciation event. A hierarchy of OGs expands on this notion, connecting more general OGs, distant in time, to more recent, fine-grained OGs, thereby spanning multiple levels of the tree of life. Large scale inference of OG hierarchies with independently computed taxonomic levels can suffe
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- Heller, Davide
- Szklarczyk, Damian
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Heller, D., Szklarczyk, D., & von Mering, C. (2019). Tree reconciliation combined with subsampling improves large scale inference of orthologous group hierarchies. BMC Bioinformatics, 20, 228. https://doi.org/10.1186/s12859-019-2828-z
