Skip to main content

Smith-Waterman local aligner

Project description

Localalign ===

This package implements a Smith-Waterman style local alignment algorithm. You can align a query sequence to a reference. The scoring functions can be based on a matrix, or simple identity. Weights can be adjusted for match/mismatch and gaps, with gap extention penalties. Additionally, the gap penalty can be subject to a decay to prioritize long gaps.

The input files are FASTA format sequences, or strings of sequences.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for swalign, version 0.3
Filename, size File type Python version Upload date Hashes
Filename, size swalign-0.3.tar.gz (5.0 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page