For the complete documentation index, see llms.txt. This page is also available as Markdown.

Quick start

Create a study

To Create a new study, click ​

  • Enter a Study Name

  • Enter a Description

  • Click the box to choose a preferred BioInsight Platform Core (formerly Illumina Connected Analytics) project or enter a name to create a new one

Click ​

Study name, description and preferred project can be edited later in the Study settings. Study settings is also used to Automatically import data from pipelines, so new generated samples in a preferred BioInsight Platform Core project in the selected assay will be automatically created.

Add data to the study

Connected Multiomics supports a variety of data types.

  • To add data into a study, click the button on the top right

  • Select data from an ICA project or upload local files

  • Demo data used to generate the Tutorial Study is also available to add to your Study by clicking ​

After selecting the data, click to add the data to the study.

Upon submitting, you'll be redirected to the Samples tab, and a message will indicate your data ingestion was successful. Here you can upload metadata from local storage, add additional data from a BioInsight Platform Core project, create sample groups, or create new analysis.

Configure Sample Metadata

Add important additional information to your study to be used to create sample groups or make comparisons as part of the study design.

Create an analysis

To create a new analysis, go to the Samples tab or Sample Groups tab,

  • Select at least one sample or one sample group

    • Then the Create analysis button ( ) will be enabled (upper-right of the table), click on this button to create a new analysis

  • In the New Analysis dialog, give your analysis a name, choose an analysis type from the dropdown menu.

Click to run the analysis. The analysis status will change from "Pending" to "Complete".

Viewing results and navigating in Connected Multiomics

Data / Task nodes and tasks in Connected Multiomics

  • The Analyses tab contains two elements: task nodes (rectangles) and data nodes (circles) connected by lines and arrows. Collectively, they represent a data analysis pipeline.

  • Clicking a data node brings up a context sensitive menu on the right (toolbox). This menu changes depending on the type of data node. It will only present tasks which can be performed on that specific data type. Hover over the task to obtain additional information regarding each option.

  • Select the task you wish to perform from the menu. When configuring task options, additional information regarding each option is available. Click Finish to perform the task.

  • Depending on the task, a new data node may automatically be created and connected to the original data node. This contains the data resulting from the task. Tasks that do not produce new data types will not produce an additional data node.

  • To view the results of a task, click the data node and choose the Task report option on the menu.

Viewing and saving data

  • All data contained in data nodes can be downloaded to the local machine by selecting the node and navigating to the bottom of the toolbox then choose Download data.

  • The Data Viewer can be used to plot, modify, and save data.

  • To save an individual image within the Data Viewer to your machine, click Plot then Export image & select the format, size, and resolution then click Save. Use the plot-specific tools for this.

  • All visualizations within a sheet in the Data Viewer can be exported as one image (e.g. use one image with all plots for a poster). Use the Export drop-down at the top of the data-viewer for this and select Export image.

Cell Metadata

Cell-level metadata will be present when the data has cell level information. They are often used for filtering, cell selection, classification and differential analysis.

Share an analysis

The share analysis function is used to import and export analysis pipelines across different workgroups or different domains. It can be used to collaborate with other researchers outside your domain and workgroup.

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