Implementation of the Needleman–Wunsch algorithm, used in bioinformatics to align protein or nucleotide sequences.
Needleman-Wunsch algorithm in javascript
React search box input with needleman-wunsch search
needleman-wunsch algorithm in js
A WASM package of Needleman-Wunsch & Smith-Waterman sequence alignment.
Pairwise sequence alignment algorithms (Needleman-Wunsch, Smith-Waterman) with BLOSUM and PAM scoring matrices.
Collection of sequence alignment algorithms.
Fuzzy search implementation
Fast antibody and T-cell receptor numbering in Rust and Python
bioinformatics package for node-red (input / output)
Experiment. Performs global and local pairwise sequence alignment through WebAssembly.
bioinformatics package for node-red (genomic analysis)
Javascript implementation of the Smith-Waterman algorithm.
An interactive sequence alignment viewer and editor built as a Svelte 5 component library. AliVibe provides canvas-based rendering of nucleotide and amino acid alignments with phylogenetic tree visualization, real-time editing, and multiple sequence align
CmpStr is a lightweight, fast and well performing package for calculating string similarity
sequence-align --------------
Simple CLI wrapper for the CmpStr package to normalize and compare strings directly via terminal
needleman is a needleman-wunsch algorithm implement
Implementation of Needleman-Wunsch & Smith-Waterman sequence alignment.
Search, hash, sort, fingerprint, and fuzzy-match strings faster via SWAR, SIMD, and GPGPU
Sequence alignment algorithms for the Cyanea bioinformatics ecosystem
omicsx: SIMD-accelerated sequence alignment and bioinformatics analysis for petabyte-scale genomic data
Fast antibody and T-cell receptor numbering in Rust and Python
Pairwise sequence alignment kernels (Smith-Waterman + Needleman-Wunsch, affine gap) for the rsomics-* tool family. Layer A primitive.
Pairwise sequence alignment — Needleman-Wunsch (global) or Smith-Waterman (local)
Fast integer to string conversion utilities optimized for high-throughput data processing.
Fast and generic distance functions for high-dimensional data.
Align peptidoforms while with mass-based alignment.
SIMD accelerated pairwise genetic sequence alignment.
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