Integrative analysis for single-cell RNA sequencing and single-cell TCR/BCR sequencing data
immunopipe is a pipeline based on pipen framework. It includes a set of processes for scRNA-seq and scTCR-/scBCR-seq data analysis in R, python and bash. The pipeline is designed to be flexible and configurable.
See a more detailed flowchart here.
Documentaion
https://pwwang.github.io/immunopipe
Proposing more analyses
If you have any suggestions for more analyses, please feel free to open an issue here
Example
https://github.com/pwwang/immunopipe-example
Gallery
There are some datasets with both scRNA-seq and scTCR-/scBCR-seq data available in the publications. The data were reanalyzed using immunopipe with the configurations provided in each repository, where the results are also available.
Check out the gallery for more details.
Citation
If you use immunopipe in your research, please cite the following paper:
1 maintainer
Metadata
1 maintainer
Release files for immunopipe 2.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| immunopipe-2.6.0.tar.gz | 7.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| immunopipe-2.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.9 MB
Release files / immunopipe-2.6.0.tar.gz
| Download URL | immunopipe-2.6.0.tar.gz |
|---|---|
| Size | 7.8 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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Release files / immunopipe-2.6.0-py3-none-any.whl
| Download URL | immunopipe-2.6.0-py3-none-any.whl |
|---|---|
| Size | 74.9 kB |
| Tags | Python 3 |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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