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SIESTA: Enhancing searches for optimal supertrees and species trees
Pranjal Vachaspati,
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
Office of the Vice Chancellor for Research and Innovation
Entomology
Evolution, Ecology, and Behavior
Siebel School of Computing and Data Science
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Keyphrases
Bipartition
20%
Consensus Tree
20%
Constrained Optimization
20%
Dynamic Programming
20%
Dynamic Programming Algorithm
40%
Estimation Method
40%
General Techniques
20%
Large Trees
20%
MDCs
20%
Multilocus Approach
20%
NP-hard Optimization
20%
Optimal Tree
100%
Optimization Criterion
20%
Phylogenomics
20%
Phylonet
20%
Polynomial Time
20%
Recent Approaches
20%
Search Space
40%
Set-based
20%
SIESTA
100%
Species Tree
100%
Species Tree Estimation
20%
Supertree
100%
Computer Science
Constrained Optimization
50%
Data Structure
50%
Dynamic Programming
100%
Dynamic Programming Algorithm
50%
Estimation Method
100%
Optimization Criterion
50%
Polynomial Time
50%
Programming Method
50%
Provably Optimal Solution
50%
Search Space
100%
Mathematics
Constrained Optimization
50%
Constrains
50%
Data Structure
50%
Estimation Method
100%
Polynomial Time
50%
Search Space
100%
Agricultural and Biological Sciences
Branches
100%