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RBT-L: A Location Based Approach for Solving the Multiple Sequence Alignment Problem,” The

机译：RBT-L：一种基于位置的求解多序列比对问题的方法，“

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Javid Taheri; Albert Y. Zomaya; Bing; Bing Zhou; Bing Bing Zhou;
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年度 2015
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1. RBT-L: a location based approach for solving the Multiple Sequence Alignment problem. [J] . Taheri J, Zomaya AY International journal of bioinformatics research and applications . 2010,第1期

机译：RBT-L：一种解决多序列比对问题的基于位置的方法。
2. ReformAlign: improved multiple sequence alignments using a profile-based meta-alignment approach [J] . Dimitrios P Lyras, Dirk Metzler BMC Bioinformatics . 2014,第1期

机译：RegiceAlign：使用基于型材的元对准方法改进多个序列对齐
3. Multiple Sequence Alignment Based on a Suffix Tree and Center-Star Strategy: A Linear Method for Multiple Nucleotide Sequence Alignment on Spark Parallel Framework [J] . Su Wenhe, Liao Xiangke, Lu Yutong, Journal of computational biology: A journal of computational molecular cell biology . 2017,第12期

机译：基于后缀树和中心星策略的多个序列对齐：一种用于火花并联框架上多个核苷酸序列对准的线性方法
4. Solving multiple RNA sequences alignment by multi-objective genetic algorithm method based on Pareto optimality [C] . Arakil Chentoufi, Abdelhakim El Fatmi, Ali Bekri, International Conference on Intelligent Systems: Theories and Applications . 2016

机译：基于帕累托最优的多目标遗传算法求解多个RNA序列比对
5. New multiple sequence alignment approach reveals proteins structural determinants. [D] . Baino, Khaled A. 2010

机译：新的多序列比对方法揭示了蛋白质的结构决定因素。
6. ReformAlign: improved multiple sequence alignments using a profile-based meta-alignment approach [O] . Dimitrios P Lyras, Dirk Metzler 2014

机译：ReformAlign：使用基于配置文件的元比对方法改进了多个序列比对
7. Using deep reinforcement learning approach for solving the multiple sequence alignment problem [O] . Reza Jafari, Mohammad Masoud Javidi, Marjan Kuchaki Rafsanjani 2019

机译：利用深增强学习方法来解决多序列对准问题

RBT-L: A Location Based Approach for Solving the Multiple Sequence Alignment Problem,” The

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