An ant-based model for multiple sequence alignment

被引:1
|
作者
Guinand, Frederic [1 ]
Pigne, Yoann [1 ]
机构
[1] Le Havre Univ, LITIS Lab, Le Havre, France
来源
LARGE-SCALE SCIENTIFIC COMPUTING | 2008年 / 4818卷
关键词
D O I
10.1007/978-3-540-78827-0_63
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Multiple sequence alignment is a key process in today's biology, and finding a relevant alignment of several sequences is much more challenging than just optimizing some improbable evaluation functions. Our approach for addressing multiple sequence alignment focuses on the building of structures in a new graph model: the factor graph model. This model relies on block-based formulation of the original problem, formulation that seems to be one of the most suitable ways for capturing evolutionary aspects of alignment. The structures are implicitly built by a colony of ants laying down pheromones in the factor graphs, according to relations between blocks belonging to the different sequences.
引用
收藏
页码:553 / 560
页数:8
相关论文
共 50 条
  • [1] The deposition of multiple pheromones in Ant-Based Clustering
    Ngenkaew, Waranckhana
    Ono, Satoshi
    Nakayama, Shigeru
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2008, 4 (07): : 1583 - 1593
  • [2] MODEL BASED MULTIPLE AUDIO SEQUENCE ALIGNMENT
    Basaran, Dogac
    Cemgil, A. Taylan
    Anarim, Emin
    2011 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS (WASPAA), 2011, : 13 - 16
  • [3] Ant-based computing
    Michael, L
    ADVANCES IN ARTIFICAL LIFE, PROCEEDINGS, 2005, 3630 : 572 - 583
  • [4] Ant-Based Computing
    Michael, Loizos
    ARTIFICIAL LIFE, 2009, 15 (03) : 337 - 349
  • [5] An ant colony algorithm for multiple sequence alignment in bioinformatics
    Moss, J
    Johnson, CG
    ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS, PROCEEDINGS, 2003, : 182 - 186
  • [6] Ant colony optimization method for multiple sequence alignment
    Chen, Ling
    Liu, Wei
    Chen, Juan
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 914 - 919
  • [7] Multiple Sequence Alignment Algorithm Based on a Dispersion Graph and Ant Colony Algorithm
    Chen, Weiyang
    Liao, Bo
    Zhu, Wen
    Xiang, Xuyu
    JOURNAL OF COMPUTATIONAL CHEMISTRY, 2009, 30 (13) : 2031 - 2038
  • [8] Probabilistic Model Checking of Ant-Based Positionless Swarming
    Gainer, Paul
    Dixon, Clare
    Hustadt, Ullrich
    TOWARDS AUTONOMOUS ROBOTIC SYSTEMS, TAROS 2016, 2016, 9716 : 127 - 138
  • [9] Ant-based IP traceback
    Lai, Gu Hsin
    Chen, Chia-Mei
    Jeng, Bing-Chiang
    Chao, Willanis
    EXPERT SYSTEMS WITH APPLICATIONS, 2008, 34 (04) : 3071 - 3080
  • [10] On the performance of ant-based clustering
    Handl, J
    Knowles, J
    Dorigo, M
    DESIGN AND APPLICATION OF HYBRID INTELLIGENT SYSTEMS, 2003, 104 : 204 - 213