A C++ implementation of the Smith - Waterman algorithm. The system consists of 3 different implementations: the one is sequential, while the other two parallelize the execution in a coarse and a fine level respectively, with the use of multithreading.

aligning DNA and protein sequences using dynamic programming

A compilation of all the programs in my bioinformatics course

Implement parallel Smith Waterman algorithm on CUDA

Bio informatics course materials for NEUB students.

Implementing the Smith-Waterman algorithm in Python

🧬 Distributing Local Sequence Alignment using Volunteer Computing

The repository contain directories of projects done during the bioinformatics degree program

NodeJs implementation of Smith-Waterman- and Needleman-Wunsch-Algorithm for Arrays of Objects

A C++ project to detect mutations on DNA sequence, comparing two DNA samples. This project was built based on a Supercomputing subject and some classic algorithms are used in this project, such as Smith Waterman, Random Local Search and Exaustive Search

AlnSeq runs a c coded Smith Waterman, Needleman Wunsch, and an Hirschberg.

A parallel implementation of Smith-Waterman algorithm for determining similar regions between two strings of nucleic acid sequences or protein sequences.

Implementations of Needleman-Wunsch (global alignment) and Smith-Waterman (local alignment) algorithms using Python.

The Smith-Waterman algorithm finds the optimal alignment of two sequences using dynamic programming techniques; Smith-Waterman is commonly used for DNA sequence alignment

Next.js project implementing bioinformatics algorithms, including Needleman-Wunsch and Smith-Waterman, for sequence alignment with a modern web interface. ICSI310 ,Introduction to Bioinformatics

R package for global alignment between two genomic sequences

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.

A Go implementation of the Smith–Waterman algorithm

Bio Informatics Lecture Notes @ Faculty of computer and information Sciences ' MU ' for the '4th Year' IT Department