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A context dependent method for comparing sequences

  • Xiaoqiu Huang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 807)

Abstract

A scoring scheme is presented to measure the similarity score between two biological sequences, where matches are weighted dependent on their context The scheme generalizes a widely used scoring scheme. A dynamic programming algorithm is developed to compute a largest-scoring alignment of two sequences of lengths m and n in O(mn) time and O(m+n) space. Also developed is an algorithm for computing a largest-scoring local alignment between two sequences in quadratic time and linear space. Both algorithms are implemented as portable C programs. An experiment is conducted to compare protein alingments produced by the new global alignment program with ones by an existing program.

Keywords

Linear Space Dynamic Programming Algorithm Recursive Call Biological Sequence Optimal Alignment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • Xiaoqiu Huang
    • 1
  1. 1.Department of Computer ScienceMichigan Technological UniversityHoughton

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