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


Release history Release notifications

History Node

0.3.4

History Node

0.3.3

History Node

0.3.2

History Node

0.3.1

History Node

0.3

This version
History Node

0.2

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
swalign-0.2.tar.gz (4.9 kB) Copy SHA256 hash SHA256 Source None Oct 30, 2012

Supported by

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