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Enzyme selection for DNA verification and identification.

Project description

BandWitch is a Python library for the planning and analysis of restriction experiments in DNA assembly operations. BandWitch implements method to select the best enzyme(s) to validate or identify DNA assemblies. It also provides report generation methods to automatically validate/identify assemblies from experimental data.

You can try BandWitch’s enzyme suggestion feature in this web demo, and the sequence validation (from AATI fragment analyzer files) in this other demo

Infos

PIP installation:

pip install bandwitch

Web documentation: https://edinburgh-genome-foundry.github.io/BandWitch/

Github page: https://github.com/Edinburgh-Genome-Foundry/BandWitch

Live demo:

Enzyme suggestion: http://cuba.genomefoundry.org/digestion-selector

Fragment analysis validation: http://cuba.genomefoundry.org/analyze-digests

License: MIT

Copyright 2017 Edinburgh Genome Foundry, University of Edinburgh

Screenshots

Enzymes selected by bandwitch to obtain clear, optimal patterns for all tested DNA constructs:

[logo]

Enzymes selected by bandwitch to obtain significant differences between the patterns of the tested constructs, so that a construct can be identified by its pattern:

[logo]

More biology software

https://raw.githubusercontent.com/Edinburgh-Genome-Foundry/Edinburgh-Genome-Foundry.github.io/master/static/imgs/logos/egf-codon-horizontal.png

BandWitch is part of the EGF Codons synthetic biology software suite for DNA design, manufacturing and validation.

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