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basic analysis information
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samuelmiver committed Feb 8, 2024
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<p align="center">
<img src="protinseq.png"/>
<img src="./images/protinseq.png"/>
</p>

A transposon sequencing protocol that selects insertions in-frame to expressed genes.
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We recommend [ANUBIS](https://github.com/CRG-CNAG/anubis) for the analysis of this type of data. However, simple data analysis can be performed to extract a relation of genomic annotations and relevant metrics by frame. We have included a set of useful functions in the file [protinseq.py](./protinseq.py).

A small demonstration on how to apply them is included in [demonstration](./demonstration.ipynb).
A small demonstration on how to apply them is included in [demonstration](./protinseq_analysis.ipynb).

Please ensure you have the most recent installation of the packages in the [requirements](./requirements.txt) by:
```bash
pip install -r requirements.txt
```

### Output examples:

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[Miravet-Verde, Samuel](mailto:smiravet@ethz.ch)
[Serrano, Luis](mailto:luis.serrano@crg.eu)


## To include

Required content
Compiled standalone software and/or source code
A small (simulated or real) dataset to demo the software/code
A README file that includes:
Instructions to run on data
Expected output
Expected run time for demo on a "normal" desktop computer

# Citation

If you use the tools and workflow presented in this repository, please cite:

- [FASTQINS and ANUBIS: two bioinformatic tools to explore facts and artifacts in transposon sequencing and essentiality studies](https://academic.oup.com/nar/article/48/17/e102/5894413)
- ProTInSeq: transposon insertion tracking by ultra-deep DNA sequencing applied to identify small and large translated ORFs.
- ProTInSeq: transposon insertion tracking by ultra-deep DNA sequencing to identify translated large and small ORFs

# License

ProTInSeq is under a common GNU GENERAL PUBLIC LICENSE. Plese, check [LICENSE](./LICENSE) for further information.

###### [2023] - Centre de Regulació Genòmica (CRG) - All Rights Reserved*
###### [2024] - Centre de Regulació Genòmica (CRG) - All Rights Reserved*

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