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.
Authors
- Julien Fumey (ORCID: https://orcid.org/0000-0002-6272-5619)
- Sara Napolitano (ORCID: https://orcid.org/0000-0001-5040-3391)
- Henri Galez (ORCID: https://orcid.org/0000-0002-1257-1615)
- Grégory Batt (ORCID: https://orcid.org/0000-0003-1697-139X)
- Bryan Brancotte (ORCID: https://orcid.org/0000-0001-8669-5525)
- Juliette Bonche
Institutions
- Institut Pasteur (FR)
- Université Paris Cité (FR)
- Sorbonne Paris Cité (FR)
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
- 0.00