Demo Data from EDBT 2026 / reviewers in the wild / expert
Andreas D. M. Gunawan
dblp:159/1928
· DBLP profile ↗
8ranked-venue papers
4as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 4 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 4 · 2 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
3 papers |
Bioinformatics and computational biology · 100% | |
| Theoretical computer science
3 papers |
Graph algorithms and graph theory · 78% Mathematical optimization · 22% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
phylogenetics |
0.8 | 3 | 2018 | S-Cluster++: a fast program for solving the cluster containment problem for phylogenetic networks · Bioinform. 2018 A program for verification of phylogenetic network models · Bioinform. 2016 Locating a Tree in a Phylogenetic Network in Quadratic Time · RECOMB 2015 |
Graph algorithms and graph theory
phylogenetic network |
0.5 | 2 | 2017 | A decomposition theorem and two algorithms for reticulation-visible networks · Inf. Comput. 2017 Locating a Tree in a Reticulation-Visible Network in Cubic Time · RECOMB 2016 |
Bioinformatics and computational biology › phylogenetics › phylogenetic network
phylogenetic network analysis |
0.3 | 1 | 2018 | S-Cluster++: a fast program for solving the cluster containment problem for phylogenetic networks · Bioinform. 2018 |
Mathematical optimization › large-scale optimization
decomposition methods |
0.3 | 1 | 2017 | A decomposition theorem and two algorithms for reticulation-visible networks · Inf. Comput. 2017 |
Graph algorithms and graph theory › graph minors
tree containment |
0.2 | 1 | 2016 | Locating a Tree in a Reticulation-Visible Network in Cubic Time · RECOMB 2016 |
Bioinformatics and computational biology › phylogenetics
phylogenetic network |
0.2 | 1 | 2015 | Locating a Tree in a Phylogenetic Network in Quadratic Time · RECOMB 2015 |
Graph algorithms and graph theory
graph algorithms |
0.2 | 1 | 2015 | Locating a Tree in a Phylogenetic Network in Quadratic Time · RECOMB 2015 |
Bioinformatics and computational biology › phylogenetics
reticulate evolution |
0.1 | 1 | 2016 | A program for verification of phylogenetic network models · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
quadratic-time algorithm · 0.4linear-time transformation · 0.3SAT reduction · 0.3reticulation-visible property · 0.2exponential-time algorithm · 0.2cubic-time algorithm · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Counting and enumerating galled networks
Andreas D. M. Gunawan, Rathin Jeyaram, Louxin Zhang |
Discret. Appl. Math. | 1 |
| 2018 | S-Cluster++: a fast program for solving the cluster containment problem for phylogenetic networksabstractMotivation: Comparative genomic studies indicate that extant genomes are more properly considered to be a fusion product of random mutations over generations (vertical evolution) and genomic material transfers between individuals of different lineages (reticulate transfer). This has motivated biologists to use phylogenetic networks and other general models to study genome evolution. Two fundamental algorithmic problems arising from verification of phylogenetic networks and from computing Robinson-Foulds distance in the space of phylogenetic networks are the tree and cluster containment problems. The former asks how to decide whether or not a phylogenetic tree is displayed in a phylogenetic network. The latter is to decide whether a subset of taxa appears as a cluster in some tree displayed in a phylogenetic network. The cluster containment problem (CCP) is also closely related to testing the infinite site model on a recombination network. Both the tree containment and CCP are NP-complete. Although the CCP was introduced a decade ago, there has been little progress in developing fast algorithms for it on arbitrary phylogenetic networks. Results: In this work, we present a fast computer program for the CCP. This program is developed on the basis of a linear-time transformation from the small version of the CCP to the SAT problem. Availability and implementation: The program package is available for download on http://www.math.nus.edu.sg/∼matzlx/ccp. Hongwei Yan, Andreas D. M. Gunawan, Louxin Zhang |
Bioinform. | 2 |
| 2018 | Solving the tree containment problem in linear time for nearly stable phylogenetic networks
Philippe Gambette, Andreas D. M. Gunawan, Anthony Labarre, Stéphane Vialette, Louxin Zhang |
Discret. Appl. Math. | 2 |
| 2017 | A decomposition theorem and two algorithms for reticulation-visible networks
Andreas D. M. Gunawan, Bhaskar DasGupta, Louxin Zhang |
Inf. Comput. | 1 |
| 2016 | Locating a Tree in a Reticulation-Visible Network in Cubic Time
Andreas D. M. Gunawan, Bhaskar DasGupta, Louxin Zhang |
RECOMB | 1 |
| 2016 | A program for verification of phylogenetic network modelsabstractMOTIVATION: Genetic material is transferred in a non-reproductive manner across species more frequently than commonly thought, particularly in the bacteria kingdom. On one hand, extant genomes are thus more properly considered as a fusion product of both reproductive and non-reproductive genetic transfers. This has motivated researchers to adopt phylogenetic networks to study genome evolution. On the other hand, a gene's evolution is usually tree-like and has been studied for over half a century. Accordingly, the relationships between phylogenetic trees and networks are the basis for the reconstruction and verification of phylogenetic networks. One important problem in verifying a network model is determining whether or not certain existing phylogenetic trees are displayed in a phylogenetic network. This problem is formally called the tree containment problem. It is NP-complete even for binary phylogenetic networks. RESULTS: We design an exponential time but efficient method for determining whether or not a phylogenetic tree is displayed in an arbitrary phylogenetic network. It is developed on the basis of the so-called reticulation-visible property of phylogenetic networks. AVAILABILITY AND IMPLEMENTATION: A C-program is available for download on http://www.math.nus.edu.sg/∼matzlx/tcp_package CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Andreas D. M. Gunawan, Bingxin Lu, Louxin Zhang |
Bioinform. | 1 |
| 2015 | Solving the Tree Containment Problem for Genetically Stable Networks in Quadratic Time
Philippe Gambette, Andreas D. M. Gunawan, Anthony Labarre, Stéphane Vialette, Louxin Zhang |
IWOCA | 2 |
| 2015 | Locating a Tree in a Phylogenetic Network in Quadratic Time
Philippe Gambette, Andreas D. M. Gunawan, Anthony Labarre, Stéphane Vialette, Louxin Zhang |
RECOMB | 2 |