Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
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
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'SIESTA: Enhancing searches for optimal supertrees and species trees'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Supertree
100%
Species Tree
100%
Optimal Tree
100%
SIESTA
100%
Dynamic Programming Algorithm
40%
Estimation Method
40%
Search Space
40%
Dynamic Programming
20%
Recent Approaches
20%
Polynomial Time
20%
Consensus Tree
20%
Species Tree Estimation
20%
Multilocus Approach
20%
MDCs
20%
Large Trees
20%
Optimization Criterion
20%
Phylogenomics
20%
Bipartition
20%
Set-based
20%
General Techniques
20%
Constrained Optimization
20%
Phylonet
20%
NP-hard Optimization
20%
Computer Science
Dynamic Programming
100%
Estimation Method
100%
Search Space
100%
Data Structure
50%
Dynamic Programming Algorithm
50%
Programming Method
50%
Polynomial Time
50%
Constrained Optimization
50%
Optimization Criterion
50%
Provably Optimal Solution
50%
Mathematics
Estimation Method
100%
Search Space
100%
Data Structure
50%
Polynomial Time
50%
Constrains
50%
Constrained Optimization
50%
Agricultural and Biological Sciences
Branches
100%