| Name | SplIsoFind JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | None |
| Summary | Spatial Isoform Finder detects spatially variable isoforms in long-read spatial data |
| upload_time | 2025-08-02 20:25:43 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | MIT License
Copyright (c) 2025 Tilgner Lab
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE. |
| keywords |
spatial transcriptomics
long read
alternative splicing
isoform
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Spatial Isoform Finder (Spl-IsoFind)
Spl-IsoFind can be used to detect spatially variable isoforms in long-read spatial transcriptomics data.
### Installation
SplIsoFind requires Python 3.9 or higher. The easiest way to install is through the following command:
```
pip install SplIsoFind
```
### Tutorials
The tutorial folder contains notebooks to run Spl-IsoFind on demo data. See the documentation for more information. The demo datasets can be downloaded here:
For citation and further information please refer to our [preprint](https://www.biorxiv.org/content/10.1101/2025.06.25.661563v1)
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