Smith-Waterman alignment implementation
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Updated
Nov 12, 2015 - Python
Smith-Waterman alignment implementation
This program determines the optimal alignment of two nucleotide sequences using the Smith–Waterman algorithm. Optimality, of course, is determined by the values of the gap penalty g and the weight matrix (that lists all of the s(ai , bj )). Finally the program outputs the optimal similarity score along with the optimal alignment.
Web App para alinhamento de sequências de DNA
Implement parallel Smith Waterman algorithm on CUDA
Applications that compute pairwise alignments of two biological sequences
Implementation of Smith-Waterman local alignment model- find closest local alignments in two given amino acid sequences. BLOSUM was used as the scoring matrix.
AlnSeq runs a c coded Smith Waterman, Needleman Wunsch, and an Hirschberg. It can run as a standalone or as a library for python.
implementation and visualizations for sequence alignment algorithms
A header-only templated C++17-library for fast and versatile sequence alignment computations.
MSc Biology C++ Course Assignment. A program that can either perform a global, or local sequence alignment. Implementation of the Smith-Waterman and Needleman-Wunsch algorithms.
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🧬🔍 Smith-Waterman pairwise sequences alignment ✍️🔡
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I developed a R package implementing the Smith-Waterman algorithm. The package building, check and installation works smoothly with 0 error (see log_file). BiocCheck results show 1 error because I’m not registered at the support site, 1 warning because BiocViews terms are invalid. Check the log_file for more details.
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Global and Local Sequence Alignment
Sequence Alignment Algorithms: Dot Matrix Representation, Needleman-Wunsch Algorithm, and Smith-Waterman Algorithm.
An R script that calculates a similarity matrix for a list of protein sequences with the aid of Bleakley-Yamanishi Normalized Smith-Waterman Similarity Score.
🧬 Implementation of the Smith-Waterman algorithm for aligning amino acid sequences.
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