"Science knows no country because knowledge belongs to humanity." -Louis Pasteur

Protocol for replacing pUC19 origin of replication

In our project, we've developed software that can predict the changes needed in the origin of replication to achieve a specific plasmid copy number. This new sequence can be synthesized and inserted into the plasmid, replacing the original replication origin. While the process itself is relatively simple, our experience has shown that there can be challenges.
To help others avoid potential issues, we've put together a step-by-step guide. This protocol is designed to assist future iGEM teams that want to use our technology in their projects. It's worth noting that after running through this protocol multiple times, we've learned various ways to make it more efficient.
By sharing this detailed guide and the insights we've gained, we aim to empower upcoming teams to navigate potential problems more easily. This way, they can smoothly incorporate our technology into their projects and increase their chances of success.

protocol
Figure 1: Ilustration of the protocol (see more details in the Experiments page).

Bioinformatics guide

In the modern landscape of life sciences, data generation and analysis have become integral practices, particularly in the realm of synthetic biology. Consequently, researchers and students within this field can greatly benefit from acquainting themselves with a range of tools and developing a foundational understanding of data analysis.
However, a challenge emerges from the abundance of tools and information available online. This wealth of resources, while beneficial, can overwhelm and intimidate individuals, particularly those without prior experience. This overwhelming feeling might discourage them from pursuing opportunities to enhance their knowledge and skills in this domain.
To address this issue, it becomes crucial to provide accessible and structured guidance to newcomers. By offering curated learning pathways, simplified explanations, and user-friendly tools, we can empower students and researchers to navigate the complexities of data analysis. Empowering them to overcome these initial obstacles ensures that they can confidently engage with the tools and information available, ultimately fostering a more productive and informed community within the realm of synthetic biology.

Bioinformatics guide