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Organizing your Data

Organizing your Data

How to efficiently manage all your biological data?

M
Written by Minerva Castellanos
Updated this week

Contents of this Article


Traditional file systems rely on folders to organize data, but as datasets grow larger and more complex, this method becomes inefficient. At TeselaGen, we take a different approach—one that emphasizes speed, flexibility, and ease of use. Instead of rigid folder structures, we provide a powerful search feature, flexible tagging, smart filters, and project-based organization, allowing you to efficiently manage your biological data without getting lost in hierarchical structures. Additionally, this organization allows you to interconnect your data, link abstract and physical entities, and even create workflows for automation of your data management.


Searching Information

The global search tool is available from the Landing Page or by using the corresponding keyboard shortcut. From there, you can search by name for different entities in all your libraries.

Inside libraries, you can search by name using the search tool or the filters and metadata. This allows you to do specific searches or arrange by order (alphabetical, by values, etc.).

Entities can also be classified using tags (see section below), and these can also be used to see specific types of data by filtering tags or projects.


Tags

Tags are a flexible way to organize and categorize your data. You can manage them from the corresponding library on the Registry Toolkit.

Tags can contain sub-tags or “options”.

📝 Example: Organizing a DNA Assembly Project

Let’s say you are working on a DNA assembly project. Instead of placing sequences, protocols, and results into separate folders, you can tag them accordingly:

  • Tag by Project – "Gene Synthesis Study"

  • Tag by Technique – "Gibson Assembly"

  • Tag by Status – "In Progress” or “Completed"


Projects

TeselaGen enables project-based organization. Projects are shared spaces where users can group data for sharing. Projects serve as a way to:

  • Group sequences, protocols, experiments, and results under a common objective.

  • Define collaboration scopes for team members working on the same initiative.

  • Maintain contextual continuity, ensuring that related data remains linked.

🚨 NOTE: If you share something that is linked to an entity within your private project, the private entity can be accessed through the linked entity. For example, if you create a design in a private project and then share a part within the design, the private design will show up in the "Linked Designs" of that part and can be accessed through it.

📝 Example: Organizing a SynBio Project

Suppose you’re working on a Synthetic Biology Strain Development project. Instead of spreading related data across various locations, you can:

  • Create a project called “SynBio Strain Development.”

  • Assign relevant DNA constructs, experimental results, and workflows to that project.

  • Use tags like “Gene Editing” and “Flux Balance Analysis” to refine searches.

  • Apply filters to view only completed experiments or recent modifications.

Now, whether you need a specific plasmid sequence, a protocol for transformation, or experimental data, everything is grouped under a single project while still remaining searchable and filterable across TeselaGen.

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