Seqera Platform Feature Requests

Users may struggle to understand raw bucket paths in Data Explorer (e.g. which project, dataset type, analysis run) leading to potential confusion around their data. We should add: Labels for cloud bucket entries / data-links that include project name, dataset type (raw/QC/processed), analysis or workflow descriptor. Show those labels alongside the path in Data Explorer Labels should be editable by workspace maintainers/admins. Search + filter should work on labels. Benefits: Easier navigation for non-technical users. Less support/handholding from technical staff. Reduced mis-use or mis-selection of wrong data.

Currently, Data Explorer does not support previewing BAM or BED files. An in-platform, interactive experience can be provided by embedding the IGV Web App ( igv.js ) in Data Explorer. This allows in-browser previewing many common bioinformatic file types .

Add support for connecting to Databricks sources and displaying data directly in Data Explorer.

As of Nextflow v25.04 , data lineage is supported. This tracks the complete history of your Nextflow runs, including: Workflow runs and their configurations Task executions and their inputs/outputs File outputs and their provenance Each lineage record has a unique identifier called a _lineage ID_ ( LID ) that you can use to access and query the data. Displaying this interactively in Data Explorer will help users easily verify the integrity and reproducibility of your pipeline results.

We need Nextflow to integrate with Databricks Unity Catalog to handle sensitive data efficiently, especially in regulated environments.

Preview is currently supported for the following file types: Nextflow output files ( .command.* , .fusion.* and .exitcode ) Text CSV and TSV PDF HTML Images (JPG, PNG, SVG, etc.) Parquet files are a very common columnar storage format for datasets and preview for this file type should be supported.

Currently Data Explorer preview supports common formats. For the image analysis community, a big win would be to be able to visualize large, multiplexed images directly on s3 storage with something like: https://github.com/hms-dbmi/viv https://avivator.gehlenborglab.org/ The value of this will become more assessable as we onboard more clients doing image analysis.

Related to https://seqera.canny.io/feature-requests/p/upload-a-folder-or-multiple-files-directly-via-data-explorer , it would be useful to make sure users cannot download files via data explorer so we can control confidential data and make sure no-one is copying it from our cloud storage.

There are many cases where you want to use public data but it's not practical or feasible to pull it from the hosted region. In those cases, it would be better to copy the data into your own bucket which will put it alongside your compute environment, saving you costs and time in the long run. An example use case would be copying certain files from the igenomes S3 bucket to your own AWS region or cloud provider for use with nf-core pipelines.

Features such as Data Explorer do not currently allow preview/download/upload for the Launch role and require at least Maintain role permissions. This FR merges all the specific requests.