Smith-Waterman alignment implementation
-
Updated
Nov 12, 2015 - Python
Smith-Waterman alignment implementation
Pairwise Sequence Aligment Tool (PSAT) a simple application to align sequences.
Smith Waterman algorithm Java implementation
A header-only templated C++17-library for fast and versatile sequence alignment computations.
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.
Implementation of Smith-Waterman local alignment model- find closest local alignments in two given amino acid sequences. BLOSUM was used as the scoring matrix.
Global and Local Sequence Alignment
Web App para alinhamento de sequências de DNA
implementation and visualizations for sequence alignment algorithms
Sequence Alignment Algorithms: Dot Matrix Representation, Needleman-Wunsch Algorithm, and Smith-Waterman Algorithm.
Applications that compute pairwise alignments of two biological sequences
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.
Implement parallel Smith Waterman algorithm on CUDA
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.
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.
🧬🔍 Smith-Waterman pairwise sequences alignment ✍️🔡
R package for global alignment between two genomic sequences
Python implementation of Striped Smith-Waterman Algorithm
Add a description, image, and links to the smith-waterman-alignment topic page so that developers can more easily learn about it.
To associate your repository with the smith-waterman-alignment topic, visit your repo's landing page and select "manage topics."