Metadata-Version: 2.4
Name: cagecleaner
Version: 1.3.1
Summary: Genomic redundancy removal tool for cblaster hit sets
Author: Lucas De Vrieze
Author-email: lucas.devrieze@kuleuven.be
License: MIT
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.12.0
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scipy<=1.14.1
Requires-Dist: biopython
Requires-Dist: cblaster>=1.3.20
Requires-Dist: pandas
Requires-Dist: entrez-direct
Requires-Dist: skder>=1.3.1
Requires-Dist: ncbi-datasets-cli
Requires-Dist: any2fasta
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# CAGEcleaner

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](https://bioconda.github.io/recipes/cagecleaner/README.html) [![Conda](https://img.shields.io/conda/dn/bioconda/CAGEcleaner.svg)](https://anaconda.org/bioconda/cagecleaner/files)
[![Manuscript](https://img.shields.io/badge/Manuscript-Bioinformatics-darkblue?style=flat-square&maxAge=2678400)](https://doi.org/10.1093/bioinformatics/btaf373)
[![DOI](https://zenodo.org/badge/904110273.svg)](https://doi.org/10.5281/zenodo.14726119)

> [!NOTE]
> `CAGEcleaner` supports all functional `cblaster` modes (remote, local, hmm). We do not recommend using one of the combi modes as we have found bugs in it.

> [!TIP]
> `CAGEcleaner` will be integrated into `cblaster`! You can already check out the development version at [this fork](https://github.com/LucoDevro/cblaster) (currently integrates CAGECleaner v1.2.3).
## Outline

`CAGEcleaner` removes genomic redundancy from gene cluster hit sets identified by [`cblaster`](https://github.com/gamcil/cblaster). The redundancy in target databases used by `cblaster` often propagates into the result set, requiring extensive manual curation before downstream analyses and visualisation can be carried out.

Given a session file from a `cblaster` run (or from a [`CAGECAT`](https://cagecat.bioinformatics.nl/) run), `CAGEcleaner` retrieves all hit-associated genome assemblies, groups these into assembly clusters by ANI and identifies a representative assembly for each assembly cluster using `skDER`. In addition, `CAGEcleaner` can retain hits that are divergent at the gene cluster level but are associated with non-representative genomes. Finally, `CAGEcleaner` returns a filtered `cblaster` session file as well as a list of retained gene cluster IDs for more straightforward downstream analysis.

![workflow](workflow.png)

## Installation and more
For installation instructions, usage, explanations and more, head over to the [`CAGEcleaner` wiki](https://github.com/LucoDevro/CAGEcleaner/wiki)!

> [!IMPORTANT]
> `CAGEcleaner` has no direct Windows support. If you seem to have it installed successfully on your Windows system, you probably have just installed v1.1.0, an old version with known bugs! There are alternative options to run CAGEcleaner on Windows.

## Citations
If you found `CAGEcleaner` useful, please cite our manuscript:

```
De Vrieze, L., Biltjes, M., Lukashevich, S., Tsurumi, K., Masschelein, J. (2025) CAGEcleaner: reducing genomic redundancy in gene cluster mining. Bioinformatics https://doi.org/10.1093/bioinformatics/btaf373
```

`CAGEcleaner` relies heavily on the `skDER` genome dereplication tool and its main dependency `skani`, so please give these proper credit as well.

```
Salamzade, R., & Kalan, L. R. (2023). skDER: microbial genome dereplication approaches for comparative and metagenomic applications. bioRxiv https://doi.org/10.1101/2023.09.27.559801`
Shaw, J., & Yu, Y. W. (2023). Fast and robust metagenomic sequence comparison through sparse chaining with skani. Nature Methods, 20(11), 1661–1665. https://doi.org/10.1038/s41592-023-02018-3
```

## License

`CAGEcleaner` is freely available under an MIT license.

Use of the third-party software, libraries or code referred to in the References section above may be governed by separate terms and conditions or license provisions. Your use of the third-party software, libraries or code is subject to any such terms and you should check that you can comply with any applicable restrictions or terms and conditions before use.
