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Divide-and-Conquer Tree Estimation: Opportunities and Challenges
Tandy Warnow
Bioengineering
Mathematics
Statistics
Coordinated Science Lab
National Center for Supercomputing Applications (NCSA)
Carl R. Woese Institute for Genomic Biology
Unit for Criticism and Interpretive Theory
Evolution, Ecology, and Behavior
Entomology
Office of the Vice Chancellor for Research and Innovation
Siebel School of Computing and Data Science
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Keyphrases
Supertree Methods
100%
Divide-and-conquer
100%
Supertree
75%
Phylogeny Estimation
75%
NP-hard Optimization Problem
50%
Deep Phylogeny
50%
Tree of Life
25%
Popular
25%
Estimation Method
25%
Species Tree
25%
Disjoint Subset
25%
Computer Science
Large Data Set
100%
Optimization Problem
100%
Estimation Method
50%
Scientific Literature
50%
Disjoint Subset
50%
Biochemistry, Genetics and Molecular Biology
Cladistics
100%
Tree of Life
33%
Taxon
33%
Solution and Solubility
33%
Heuristics
33%
Earth and Planetary Sciences
Estimation Method
100%
State of the Art
100%
Mathematics
Divide and Conquer
100%
Estimation Method
25%
Disjoint Subset
25%