> For the complete documentation index, see [llms.txt](https://help.bioinsight.illumina.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.bioinsight.illumina.com/correlation-engine/managing-my-data-in-correlation-engine/projects-studies-groups.md).

# Projects, Studies, and Groups

## Projects

A **project** is the top-level organisational container in Correlation Engine. It groups related studies together, making it easier to navigate and manage your experimental data. Projects are visible to you by default; their visibility to others depends on your access settings and whether you are a Professional or Enterprise user.

### Creating a Project

New projects are created as part of the [import workflow](/correlation-engine/data-inputs/data-inputs.md). When you import a new study you can either add it to an existing project or create a new one. You can also create standalone projects from the **Studies & Projects** page in the left navigation panel.

### Renaming or Editing a Project

1. Navigate to **Studies & Projects** in the left navigation panel.
2. Select the project you want to edit.
3. Click the **Edit** or pencil icon next to the project name or description.
4. Make your changes and save.

### Deleting a Project

Deleting a project will remove it from your view but does not delete the studies or biosets within it — those remain accessible via **My Studies**. To permanently delete individual studies or biosets, manage them from the study detail page.

***

## Studies

A **study** is a collection of one or more biosets derived from the same underlying experiment or dataset. Each study has a name, description, tags, and associated files.

### Viewing Your Studies

Navigate to **Studies & Projects → My Studies** to see all studies you have imported or that have been shared with you.

### Editing a Study

1. Go to **My Studies** and find the study of interest.
2. Click the **Full Study Details** button.
3. Click the pencil icon or **Edit** link next to any editable field — **Study Details**, **Bioset details**, or **Associated files**.
4. Save your changes.

{% hint style="info" %}
Editing a study name or description also triggers a re-indexing of the study in search, which is useful if a study is not appearing in expected search results.
{% endhint %}

### Editing Tags on an Existing Study

Tags are the semantic labels attached to biosets (tissue, phenotype, compound, gene) that enable categorized app results. To edit tags after import:

1. Go to **My Studies** and click **Full Study Details** for the study.
2. Click the **Biosets** tab.
3. Click **+Add Tags** or **Edit** in the tag section.
4. Add or modify the tissue, phenotype, compound, and gene tags.
5. Save.

### Uploading Additional Biosets into an Existing Study

You can add more biosets to an existing study provided they are from the **same organism and data type** as the study. Use the Import Data workflow and select the existing study as the destination.

### Deleting Biosets

From the **Full Study Details** page, you can delete individual biosets from a study or delete all biosets in the study.

***

## Biosets

A **bioset** is the fundamental data unit in Correlation Engine — a single ranked list of genomic features with associated statistics representing one experimental comparison (e.g., treated vs. control in a specific cell line).

### Key Properties of a Bioset

| Property      | Description                                                    |
| ------------- | -------------------------------------------------------------- |
| **Name**      | Descriptive label (≤ 96 characters recommended)                |
| **Data type** | RNA Expression, DNA Methylation, ChIP-seq, etc.                |
| **Organism**  | Species the experiment was performed in                        |
| **Platform**  | Array or sequencing platform                                   |
| **Features**  | Genes, proteins, SNPs, or coordinates with statistics          |
| **Tags**      | Tissue, phenotype, compound, gene labels                       |
| **Direction** | Whether the bioset carries directional fold-change information |

### How CE Uses Biosets

CE treats biosets as the fundamental unit of correlation. When you query an app with a gene or concept, CE identifies which biosets contain a significant result for that query and then ranks and groups those biosets into the categorized results you see (e.g., diseases in Disease Atlas, tissues in Body Atlas).

***

## Groups

**Groups** in Correlation Engine are collections of users who can share studies and collaborate. Groups can be public (joinable by any CE user in your organization), private (invitation-only), or invisible (not searchable).

### Why Use Groups?

* Share private studies with specific colleagues or a team without making data organisation-wide.
* Collaborate with users who are not in your immediate workgroup.
* Keep data segregated by research programme or team.

### Creating a Group

1. Navigate to your profile or community section.
2. Click **Create Group**.
3. Specify the group name, description, and privacy setting (public, private, or invisible).
4. Add members by searching for registered CE users within your organisation.

### Privacy Control

As the creator or administrator of a group you have full control over membership. Private groups require invitation by the administrator. Invisible groups do not appear in search results.

{% hint style="info" %}
Correlation Engine Enterprise users can include studies that belong to domain projects (the Domain Library) in categorized results. Personal studies are shown in correlated-studies views but are not included in categorization.
{% endhint %}

***

## The Studies & Projects Page

The **Studies & Projects** page is the main landing area for managing your data. It displays:

* **My Studies** — studies you have imported.
* **Shared with Me** — studies others have shared with you.
* **Public Studies** — a view into the CE public library.
* **Domain/Enterprise Studies** — studies in your organisation's domain library (Enterprise users).

Use the filters and search bar on this page to quickly find studies by name, tag, data type, or organism.


---

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