RiboKit : Primerize

PCR Assembly Primer Design

Primerize Documentation

Primerize Logo

Primerize (previously named NA_thermo), is an archive of Python and MATLAB scripts for primer design and nucleic acid thermodynamic scripts developed by the Das Lab at Stanford University for high-throughput RNA synthesis and design.

The algorithm designs forward (sense strand) and reverse (anti-sense strand) primers that minimize the total length, and therefore the total synthesis cost, of the oligonucleotides. Although developed independently, Primerize is a special case of the general ‘Gapped Oligo Design’ algorithm, optimizing the mispriming score and sequence span instead of Tm.

An online user-friendly GUI is available as the Primerize Server.

The code for Primerize is available at <https://github.com/ribokit/Primerize>`_


Table of Contents


Experimental Protocol

Please visit the Primerize server for a complete guidance on primer designs and RNA synthesis:


License

Copyright &copy; of Biers Source Code is described in LICENSE.


Reference

Tian, S., Yesselman, J.D., Cordero, P., and Das, R. (2015)
Nucleic Acid Research 43 (W1): W522-W526.

Tian, S., and Das, R. (2017)
Bioinformatics 33 (9): 1405-1406.

Workflows


Developed by Das lab, Leland Stanford Junior University.

README by t47, January 2016.

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Last updated on Dec 13, 2024.