InSillyClo, a User-Friendly Web Application to Assist Large-Scale Golden Gate Cloning and MoClo Workflows

Systems and synthetic biology developments often require the construction of many variants of a genetic circuit of interest, resulting in large-scale cloning campaigns. Golden Gate and Modular Cloning (MoClo), two powerful technologies enabling the scale-up of cloning workflows, play a central role for efficient circuit construction. These workflows include a number of dry-lab tasks, which are time-consuming and error-prone at scale. Currently, no software tool is available to handle these tasks in a dedicated, time-saving, and user-friendly manner. We present InSillyClo, an open-source web application to assist large-scale Golden Gate cloning and MoClo workflows. It supports an easy specification of genetic designs at any scale, followed by the automated generation of comprehensive workflow-related data. Moreover, InSillyClo leverages Modular Cloning with a versatile typing system of parts to generate user-defined workflows. InSillyClo is open source, accessible with or without user registration, and can also be used locally.

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Publication Details

Journal
ACS Synthetic Biology
Published
2025-12-17
DOI
https://doi.org/10.1021/acssynbio.5c00553
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
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article

InSillyClo, a User-Friendly Web Application to Assist Large-Scale Golden Gate Cloning and MoClo Workflows

Julien Fumey, Sara Napolitano, Henri Galez, Grégory Batt et al.
ACS Synthetic Biology
Gene Regulatory Network Analysis
article

InSillyClo, a User-Friendly Web Application to Assist Large-Scale Golden Gate Cloning and MoClo Workflows

Julien Fumey, Sara Napolitano, Henri Galez, Grégory Batt, Bryan Brancotte, Juliette Bonche
article en

Abstract

Systems and synthetic biology developments often require the construction of many variants of a genetic circuit of interest, resulting in large-scale cloning campaigns. Golden Gate and Modular Cloning (MoClo), two powerful technologies enabling the scale-up of cloning workflows, play a central role for efficient circuit construction. These workflows include a number of dry-lab tasks, which are time-consuming and error-prone at scale. Currently, no software tool is available to handle these tasks in a dedicated, time-saving, and user-friendly manner. We present InSillyClo, an open-source web application to assist large-scale Golden Gate cloning and MoClo workflows. It supports an easy specification of genetic designs at any scale, followed by the automated generation of comprehensive workflow-related data. Moreover, InSillyClo leverages Modular Cloning with a versatile typing system of parts to generate user-defined workflows. InSillyClo is open source, accessible with or without user registration, and can also be used locally.

ACS Synthetic BiologyVol. 15(1)
Institut Pasteur (FR), Université Paris Cité (FR), Sorbonne Paris Cité (FR)
Openalex Percentile: Top 63%
Gene Regulatory Network Analysis
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