该算法先用渐进方法进行多序列比对，然后通过迭代策略，利用上一轮多序列比对结果修正指导树，产生新一轮比对。
An appropriate selection of basis function directly in?uences the learning performance of a policy iteration method during the value function approximation.
本文主要对适用于生物序列数据上的后缀树索引技术和生物信息学中的多序列比对算法进行了分析和研究。
This thesis mainly focuses on the study of suffix tree index technical dealing with bio-sequences and multiple sequences alignment problem in bioinformatics.
为对真核基因的选择性剪接形式进行准确、快速、有效的研究，提出了一种启发式多序列比对算法。
A heuristic algorithm for multiple alignment was developed to more effectively study alternative splicing patterns of eukaryotic genes.
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