Seqera Platform Feature Requests

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.

Selecting the file-path format for a string type parameter in the Nextflow schema enables the user to browse all object storage buckets in the workspace with Data Explorer and dynamically select a bucket + object for the parameter value when launching the pipeline in Seqera. Currently, when opening the Data Explorer file-path selector, the user is by default displayed all object storage buckets accessible in the workspace . It would be helpful to define a file-path parameter in the schema that defaults Data Explorer to open a specific object storage bucket + prefix (and optionally object): { "input": "s3://my-bucket-name/my-prefix" } or { "input": "s3://my-bucket-name/my-prefix/samplesheet.csv" } This allows a user to immediately select their samplesheet of choice rather than having to select and navigate deep into the specific object storage bucket and prefix.

When launching a pipeline in Seqera Platform, the data selection for Data Explorer should filter for buckets with write permissions, especially when browsing for workdir or outdir .

Can we add custom icon support to s3 compatible buckets in the Seqera UI? Essentially let the user upload a custom icon when adding credentials for the s3 compatible storage so that icon gets assigned to all buckets for that server base url.

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

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 .

Currently, when trying to download files larger than 10MB we see an error message like "Download directly from the S3 path" along with the s3 link. This is poor User experience for people since they have to either switch platforms (Seqera to S3) or navigate to the data explorer tab to find their files. Ideally, we should be able to view large files directly on the reports tab. But if that's not possible, then at least the ability to download directly instead of getting the s3 path will be great.

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.

It would be great to have the ability to create folders directly in data explorer. Right now, the workaround is to create the folder locally and then upload that folder.

It would be helpful to have timestamps from the file propagated through to Data Explorer. It helps understanding which files should be used, which ones may be newer and should be used over others, without leaving Platform and checking on AWS directly.