Working Together in SeqHub
General collaboration tools work well for documents and data. But for sequence data specifically, keeping annotations, genomic context, and experimental findings in sync across a team is harder. Computational team members run analyses, experimental team members generate their own findings at the bench, and results get shared back and forth with PIs over email rather than in one place everyone can build on. Findings accumulate across individual accounts, tools, local files, and inboxes rather than in a shared place where everyone can build on them.
Collaboration is now live on SeqHub.
You can add labmates to any dataset with read or write access, so annotations and research findings stay in one place and everyone works from the same foundation. You can also add collaborators as co-authors on public datasets, so everyone who contributed to the work gets credited when it's shared.
A few ways labs are already using this
- A PI reviews annotations and other research findings directly in the platform rather than through file handoffs
- Graduate students working on the same organism share a dataset and add experimental results and relevant literature
- A class project where students contribute to a shared public dataset under a faculty co-author
- Researchers publish their data on SeqHub and add co-authors to credit everyone who contributed
Collaboration is available now for all SeqHub users.
We'd love to hear how you're using it and what else you'd want from collaboration in SeqHub. Let us know at team@tatta.bio or drop a note in our Discord.
Frequently Asked Questions
How do I share a dataset with my lab in SeqHub?
Open any dataset and add collaborators by username. You can assign read access for viewing or write access for editing and adding findings.
Can collaborators edit data or just view them?
Both. Write access lets collaborators add to and edit results directly. Read access lets them view without making changes. You control the permission level for each person you add.
How do I credit everyone who contributed to a public dataset?
When publishing a dataset, you can add co-authors so all contributors are credited on the public record, not just the person who created the dataset in SeqHub.
Collaborate on sequence data with your lab
Share datasets, add annotations, and credit everyone who contributed.