Hung D Nguyen’s research while affiliated with University of Miyazaki and other places

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Publications (23)


A New Three-Level Tree Data Structure for Representing TSP Tours in the Lin-Kernighan Heuristic
  • Article

October 2007

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284 Reads

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2 Citations

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences

Hung Dinh Nguyen

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Kunihito Yamamori

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Moritoshi Yasunaga

Lin-Kernighan (LK) is the most powerful local search for the Traveling Salesman Problem (TSP). The choice of data structure for tour representation plays a vital role in LK's performance. Binary trees are asymptotically the best tour representation but they perform empirically best only for TSPs with one million or more cities due to a large overhead. Arrays and two-level trees are used for smaller TSPs. This paper proposes a new three-level tree data structure for tour representation. Although this structure is asymptotically not better than the binary tree structure, it performs empirically better than the conventional structures for TSPs having from a thousand to three million cities.


The Evolution of Spliceosomal Introns in Alveolates

June 2007

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19 Reads

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14 Citations

Molecular Biology and Evolution

Many issues concerning the evolution of spliceosomal introns remain poorly understood. In this respect, the reconstruction of the evolution of introns in deep branching species such as alveolates is of special significance. In this study, we inferred the intron evolution in alveolates using 3,368 intron positions in 162 orthologs from 10 species (9 alveolates and 1 outgroup, Homo sapiens). We found that although very few intron gains and losses have occurred in Theileria and Plasmodium recently, many intron gains and losses have occurred in the evolution of alveolates. Thus, the rates of intron gain and loss in alveolates have varied greatly across time and lineage. Our results seem to support the notion that massive intron gains and losses have occurred during short episodes, perhaps coinciding with major evolutionary events.


Implementation of an Effective Hybrid GA for Large-Scale Traveling Salesman Problems

March 2007

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93 Reads

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170 Citations

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics: a publication of the IEEE Systems, Man, and Cybernetics Society

This correspondence describes a hybrid genetic algorithm (GA) to find high-quality solutions for the traveling salesman problem (TSP). The proposed method is based on a parallel implementation of a multipopulation steady-state GA involving local search heuristics. It uses a variant of the maximal preservative crossover and the double-bridge move mutation. An effective implementation of the Lin-Kernighan heuristic (LK) is incorporated into the method to compensate for the GA's lack of local search ability. The method is validated by comparing it with the LK-Helsgaun method (LKH), which is one of the most effective methods for the TSP. Experimental results with benchmarks having up to 316228 cities show that the proposed method works more effectively and efficiently than LKH when solving large-scale problems. Finally, the method is used together with the implementation of the iterated LK to find a new best tour (as of June 2, 2003) for a 1904711-city TSP challenge.


Figure 2. Patterns of Intron Gain and Loss. (A) Likelihood results. (B) Parsimony results. Numbers of introns present in modern species (known) are in black. Numbers of introns present in ancestors (estimated) are in green. Numbers of gains and losses (estimated) are in red and blue, respectively. Branches that experienced .1.5 gains per loss are shown in red and those that experienced .1.5 losses per gain are in blue. Abbreviations are the same as in Figure 1. doi:10.1371/journal.pone.0000141.g002
Figure 3. Intron Gains and Losses Over Time. The numbers of intron gains and losses are divided into three periods of time: 0.5-0 Ga (black); 1.0-0.5 Ga (gray), and 1.5-1.0 Ga (white). The timescale is based on that of Hedges and colleagues [13,14]. Ga, billion years ago; other abbreviations are the same as in Figure 1. doi:10.1371/journal.pone.0000141.g003
All conserved amino acids regions in 76 RP genes were used to generate the tree. The tree with bootstrap values in percentages was built using the Seqboot (1000 replicates), Protdist, Neighbor, and Consense programs of the PHYLIP package [28]. The taxonomy is based on that of NCBI (http://www.ncbi.nlm.nih.gov/Taxonomy/) and ITIS (http://www.itis.usda.gov/index.html). Hs, Homo sapiens; Fr, Fugu rubripes; Ci, Ciona intestinalis; Dm, Drosophila melanogaster; Ag, Anopheles gambiae; Am, Apis mellifera; Ce, Caenorhabditi elegans; Mg, Magnaporthe grisea; Fg, Fusarium graminearum; Sn, Stagonospora nodorum; Yl, Yarrowia lipolytica; Sc, Saccharomyces cerevisiae; Sp, Schizosaccharomyces pombe; Cc, Coprinus cinerea; Cn, Cryptococcus neoformans; Um, Ustilago maydis; Ro, Rhizopus oryzae; Dd, Dictyostelium discoideum; At, Arabidopsis thaliana; Os, Oryza sativa; Cr, Chlamydomonas reinhardtii; Pf, Plasmodium falciparum; 1, vertebrata; 2, urochordata; 3, insecta; 4, nematoda; 5, pezizomycotina; 6, saccharomycotina; 7, schizosaccharomycetes; 8, hymenomycetes; 9, ustilaginomycetes; 10, zycomycetes; 11, mycetozoa; 12, magnoliophyta; 13, chlorophyta; 14, apicomplexa.
(A) Likelihood results. (B) Parsimony results. Numbers of introns present in modern species (known) are in black. Numbers of introns present in ancestors (estimated) are in green. Numbers of gains and losses (estimated) are in red and blue, respectively. Branches that experienced >1.5 gains per loss are shown in red and those that experienced >1.5 losses per gain are in blue. Abbreviations are the same as in Figure 1.
The numbers of intron gains and losses are divided into three periods of time: 0.5–0 Ga (black); 1.0–0.5 Ga (gray), and 1.5–1.0 Ga (white). The timescale is based on that of Hedges and colleagues [13], [14]. Ga, billion years ago; other abbreviations are the same as in Figure 1.
Intron Dynamics in Ribosomal Protein Genes
  • Article
  • Full-text available

February 2007

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57 Reads

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22 Citations

The role of spliceosomal introns in eukaryotic genomes remains obscure. A large scale analysis of intron presence/absence patterns in many gene families and species is a necessary step to clarify the role of these introns. In this analysis, we used a maximum likelihood method to reconstruct the evolution of 2,961 introns in a dataset of 76 ribosomal protein genes from 22 eukaryotes and validated the results by a maximum parsimony method. Our results show that the trends of intron gain and loss differed across species in a given kingdom but appeared to be consistent within subphyla. Most subphyla in the dataset diverged around 1 billion years ago, when the "Big Bang" radiation occurred. We speculate that spliceosomal introns may play a role in the explosion of many eukaryotes at the Big Bang radiation.

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Analysis of Ribosomal Protein Gene Structures: Implications for Intron Evolution

April 2006

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74 Reads

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36 Citations

Many spliceosomal introns exist in the eukaryotic nuclear genome. Despite much research, the evolution of spliceosomal introns remains poorly understood. In this paper, we tried to gain insights into intron evolution from a novel perspective by comparing the gene structures of cytoplasmic ribosomal proteins (CRPs) and mitochondrial ribosomal proteins (MRPs), which are held to be of archaeal and bacterial origin, respectively. We analyzed 25 homologous pairs of CRP and MRP genes that together had a total of 527 intron positions. We found that all 12 of the intron positions shared by CRP and MRP genes resulted from parallel intron gains and none could be considered to be "conserved," i.e., descendants of the same ancestor. This was supported further by the high frequency of proto-splice sites at these shared positions; proto-splice sites are proposed to be sites for intron insertion. Although we could not definitively disprove that spliceosomal introns were already present in the last universal common ancestor, our results lend more support to the idea that introns were gained late. At least, our results show that MRP genes were intronless at the time of endosymbiosis. The parallel intron gains between CRP and MRP genes accounted for 2.3% of total intron positions, which should provide a reliable estimate for future inferences of intron evolution.



Citations (9)


... This is used to find the conserved regions score. The first comparison is with a parallel hybrid genetic algorithm (PHGA) (Nguyen et al., 2002). This paper combines local search heuristics with the genetic algorithm implemented with a coarse grained parallel model. ...

Reference:

Aligning molecular sequences using hybrid bioinspired algorithm in GPU
Aligning multiple protein sequences by parallel hybrid genetic algorithm
  • Citing Article
  • January 2002

Genome informatics. International Conference on Genome Informatics

... In the second phase, denoted heterogeneous evolution, all the global and branch-specific parameters are fixed, which allows for estimation of the gene-specific parameters θ g and η g that can now take different values for different genes. Except for the rate variability within genes, the model of evolution under the homogeneous phase resembles the branch-specific models, and consequently the EM algorithm used in this part has similar structure to the EM algorithm developed by Nguyen et al. [18,36]. ...

Authors' Reply

... This is perhaps clearest in the case of reconstruction of the history of vertebrate introns. Initial results suggest massive intron gain in the branch leading from the animal ancestor to modern humans (Csűrös 2005;Nguyen et al. 2005). ...

New Maximum Likelihood Estimators for Eukaryotic Intron Evolution

... It could also result from two parallel intron gains in the same position ( Supplementary Fig. 2a). A shared intron position between two homologous genes that were acquired as two separate genes during eukaryogenesis (e.g., cytoplasmic and mitochondrial ribosomal proteins 23 ) must have been the result of parallel intron gains. We compiled a set of separately acquired genes for both datasets and obtained percentages of 5.0% and 5.4% shared LECA introns between separate acquisitions for the KOGs and Pfams, respectively. ...

Analysis of Ribosomal Protein Gene Structures: Implications for Intron Evolution

... In TaAFCs, the intron phase distribution shows nonuniformity, where the zero-phase intron has the maximum distribution frequency compared to phases one and two. The simultaneous mutations at the intron end, exon shuffling, or intron insertion model might have explained the lower frequency of occurrence of phase one and phase two introns (Fedorov et al. 1992;Nguyen et al. 2006). Similar results were reported earlier in other gene families (Xiao et al. 2021). ...

Phase distribution of spliceosomal introns: Implications for intron origin

BMC Evolutionary Biology

... Aside from the UTRs, the most visible regulatory element of eukaryotic RPGs is their introns as the vast majority of eukaryotic RPGs contain introns even in species where introns are less abundant like S. cerevisiae (Amaldi et al., 1995;Nakao et al., 2004;Parenteau et al., 2011;Yoshihama, Nguyen, & Kenmochi, 2007). The number of genes containing introns and the sizes of introns vary between species with the fewest and smallest introns being in the obligate parasite microsporidia and the most in human (Figure 1b and [Whelan, Lee, Lee, & Fast, 2019]). ...

Intron Dynamics in Ribosomal Protein Genes

... A class of metaheuristics called "memetic algorithms" [3] that combine evolutionarybased algorithms with local search are effective in solving the TSP and closely related optimization problems [4]. Dinh Nguyen et al. introduced an effective memetic algorithm for large-scale TSP problems in 2007 [5]. This approach integrates a parallel multipopulation steady-state genetic algorithm with Lin-Kernighan local search, including variants like maximal preservative crossover and double-bridge move mutation. ...

Implementation of an Effective Hybrid GA for Large-Scale Traveling Salesman Problems
  • Citing Article
  • March 2007

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics: a publication of the IEEE Systems, Man, and Cybernetics Society

... The most notorious of these diseases, malaria caused by Plasmodium spp., affected at least 214 million people and caused 438 thousand deaths in 2015 [6]. The antiquity of the apicomplexan phylum (last common ancestor is~500 million years old [7]) coupled with the availability of numerous genome sequences allows for the examination of genome evolution in an ancient phylum [8]. Apicomplexans have reductive streamlined genomes, that range from~8.5 tõ 125 megabases, and correlate roughly with the number of protein-encoding genes (~3650 to~8000) [9][10][11]. ...

The Evolution of Spliceosomal Introns in Alveolates
  • Citing Article
  • June 2007

Molecular Biology and Evolution

... Significant experiments were conducted to determine proposed algorithm performance. The proposed algorithms were tested in genetic algorithm with inconstant generated populations to show effectiveness and superiority in the method [58]. ...

A parallel hybrid genetic algorithm for multiple protein sequence alignment
  • Citing Conference Paper
  • June 2002