Git Product home page Git Product logo

swalign's Introduction

swalign

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.

Here is some skeleton code to get you started:

import swalign
# choose your own values here… 2 and -1 are common.
match = 2
mismatch = -1
scoring = swalign.NucleotideScoringMatrix(match, mismatch)

sw = swalign.LocalAlignment(scoring)  # you can also choose gap penalties, etc...
alignment = sw.align('ACACACTA','AGCACACA')
alignment.dump()

For other uses, see the script in bin/swalign.

swalign's People

Contributors

mbreese avatar asifrim avatar

Watchers

 avatar James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.