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Related Experiment Video

Updated: Mar 23, 2026

Mouse Genome Engineering Using Designer Nucleases

Mouse Genome Engineering Using Designer Nucleases

Published on: April 2, 2014

Merlin: Computer-Aided Oligonucleotide Design for Large Scale Genome Engineering with MAGE.

Michael Quintin^1,2, Natalie J Ma^3,4, Samir Ahmed⁵

¹Program in Bioinformatics, Boston University , Boston, Massachusetts 02215, United States.

ACS Synthetic Biology

|April 8, 2016

Summary

Merlin is a new tool that helps design genome engineering experiments. It generates DNA oligonucleotides for multiplex automated genome engineering (MAGE) to improve efficiency and reduce errors.

Keywords:

MAGE automation bioengineering genomics multiplex automated genome engineering software synthetic biology

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Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Genome engineering technologies allow precise genotype manipulation but face scalability challenges.
Multiplex automated genome engineering (MAGE) is a powerful technique for genome modification.

Purpose of the Study:

To introduce Merlin, an open-source web-based tool for designing MAGE experiments.
To enhance the efficiency and accuracy of MAGE experiments through improved oligo design.

Main Methods:

Merlin generates single-stranded DNA oligonucleotide pools using free energy calculation and BLAST scoring.
The tool predicts allelic replacement rates and designs primers for validation.
Oligo design focuses on improving recombination efficiency and minimizing off-target effects.

Main Results:

Merlin successfully designed oligos and primers for MAGE experiments.
The tool's functionality was validated by eliminating seven AvrII restriction sites in Escherichia coli.
Merlin demonstrated comparable or improved performance over existing methods like OptMAGE.

Conclusions:

Merlin is a valuable tool for streamlining MAGE experiment design and validation.
The software enhances scalability and reduces potential errors in genome engineering.
Merlin facilitates more efficient and reliable genome engineering for biological research.