Reconstruction of phylogenetic trees using the ant colony optimization paradigm

被引:0
|
作者
Perretto, Mauricio [1 ]
Lopes, Heitor Silverio [1 ]
机构
[1] CEFET PR, Ctr Fed Educ Tecnol Parana, CPGEI, Lab Bioinformat, Curitiba, Parana, Brazil
关键词
Phylogeny; Bioinformatics; Evolutionary computation; Ant colony optimization;
D O I
暂无
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We developed a new approach for the reconstruction of phylogenetic trees using ant colony optimization metaheuristics. A tree is constructed using a fully connected graph and the problem is approached similarly to the well-known traveling salesman problem. This methodology was used to develop an algorithm for constructing a phylogenetic tree using a pheromone matrix. Two data sets were tested with the algorithm: complete mitochondrial genomes from mammals and DNA sequences of the p53 gene from several eutherians. This new methodology was found to be superior to other well-known softwares, at least for this data set. These results are very promising and suggest more efforts for further developments.
引用
收藏
页码:581 / 589
页数:9
相关论文
共 50 条
  • [1] Ant-Based Phylogenetic Reconstruction (ABPR): A new distance algorithm for phylogenetic estimation based on ant colony optimization
    Vittori, Karla
    Delbem, Alexandre C. B.
    Pereira, Sergio L.
    GENETICS AND MOLECULAR BIOLOGY, 2008, 31 (04) : 974 - 981
  • [2] ACOPHY: A Simple and General Ant Colony Optimization Approach for Phylogenetic Tree Reconstruction
    Dinh, Huy Q.
    Minh, Bui Quang
    Hoang Xuan Huan
    Von Haeseler, Arndt
    SWARM INTELLIGENCE, 2010, 6234 : 360 - +
  • [3] Ant Colony Decision Trees - A New Method for Constructing Decision Trees Based on Ant Colony Optimization
    Boryczka, Urszula
    Kozak, Jan
    COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, PT I, 2010, 6421 : 373 - 382
  • [4] Modified Algorithm for Phylogenetic Tree Construction using Ant Colony Optimization
    Perera, W. A. R. D.
    Wannige, C. T.
    2019 19TH INTERNATIONAL CONFERENCE ON ADVANCES IN ICT FOR EMERGING REGIONS (ICTER - 2019), 2019,
  • [5] Optimal groundwater monitoring design using an ant colony optimization paradigm
    Li, Yuanhai
    Hilton, Amy B. Chan
    ENVIRONMENTAL MODELLING & SOFTWARE, 2007, 22 (01) : 110 - 116
  • [6] Metaheuristic algorithms for combinatorial optimization: the Ant Colony Optimization paradigm
    Carbonaro, A
    Maniezzo, V
    GROUNDING EFFECTIVE PROCESSES IN EMPIRICAL LAWS: REFLECTIONS ON THE NOTION OF ALGORITHM, 1999, : 151 - 169
  • [7] Newspaper article reconstruction using ant colony optimization and bipartite graph
    Gao, Liangcai
    Wang, Yongtao
    Tang, Zhi
    Lin, Xiaofan
    APPLIED SOFT COMPUTING, 2013, 13 (06) : 3033 - 3046
  • [8] Inducing decision trees with an ant colony optimization algorithm
    Otero, Fernando E. B.
    Freitas, Alex A.
    Johnson, Colin G.
    APPLIED SOFT COMPUTING, 2012, 12 (11) : 3615 - 3626
  • [9] CLASSIFICATION MODELS TO PREDICT CARCINOGENICITY USING ANT COLONY OPTIMIZATION AND DECISION TREES
    Narayanan, Ramamurthi
    Singh, Vijay
    Gunturi, Sitarama
    DRUG METABOLISM REVIEWS, 2014, 45 : 58 - 59
  • [10] A phylogenetic tree constructing algorithm based on ant colony optimization
    Chen, Ling
    Qin, Ling
    Zou, Lingiun
    CIS WORKSHOPS 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY WORKSHOPS, 2007, : 248 - +