spatial airr data
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- Dominant language
- Python
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Description
Description of feature
Apparently this is a thing now (e.g. 10x spatial transcriptomics + mixcr, e.g. in this paper).
@giovp is there anything we need to do to leverage squidpy + scirpy together for this kind of data?
Can we account for this type of data in the design of the new data structure (#327)?
CC @FFinotello
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing issue #327 and the question about using squidpy with scirpy for spatial AIRR data. Clarify the required data-structure changes and interoperability expectations before identifying an implementation scope. Done means the new structure explicitly accounts for this data type and the relevant integration behavior is documented or tested.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100