scholarly journals Algorithm for Protein Sequence Alignment using Hadoop

To develop an efficient system for matching the biological protein sequences and generating the scoring matrix using a distributed scan approach by applying SmithWaterman(SW) algorithm. The algorithm generates fatest solution and the proposed system is comparing sequences with System, OpenMP and Hadoop. The comparison of the system leads in generating an efficient matrix of the protein sequence, beneficial for predicting the efficiency of the system.

1998 ◽  
Vol 54 (6) ◽  
pp. 1139-1146 ◽  
Author(s):  
Geoffrey J. Barton

The basic algorithms for alignment of two or more protein sequences are explained. Alternative methods for scoring substitutions and gaps (insertions and deletions) are described, as are global and local alignment methods. Multiple alignment techniques are explained, including methods for profile comparison. A summary is given of programs for the alignment and analysis of protein sequences, either from sequence alone, or from three-dimensional structure.


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