Seqera Platform Feature Requests

When launching larger pipelines with many parameters, it is possible to hit the limit imposed by Platform, giving the error: ParamsText field too big - Max allowed size 20480 characters When this limit is reached, it can become difficult to launch the pipeline. Is it possible to increase or remove this limit?

I would like to use SSH keys for cloning Bitbucket-hosted pipeline repositories instead of tying credentials for a specific user. This would help avoid tying credentials to one person and improve security.

I'd like to be able to chain pipelines together within Seqera Platform, and not rely on an external service such as lambda functions to chain demultiplex => rnaseq => differentialabundance together for example

Update the current user role permissions to manage more fine-grained permissions (Role Based Access Control, etc).

Many users develop their Python or R notebooks, or Nextflow pipelines in VSCode, on remote EC2 instances. Once a Studio session is in a running state, users should be able to connect to the remote Studio session via a SSH tunnel to the EC2 instance with their existing VSCode/Vim/Bash environment(s). There is a VSCode plugin available that can be reviewed for inspiration.

In the Launchpad when launching a pipeline when the input field has a long list of options add an type-ahead option to facilitate the search for required parameters.

It would be helpful to be able to shortcut from the Reports tab directly to Data Explorer, either to download a file that is too big to be downloaded from Reports or to further explore the results directory.

I would like a feature that allows for structured context-aware data capture to make processed data discoverable and queryable.

I need an integration with Benchling that allows launching and monitoring pipelines directly from Benchling.

I want a system to handle data transformation and enable maximum metadata pooling in a single API call.