recipe eukbin

BUSCO-guided binning for eukaryotic metagenomes

Homepage:

https://github.com/weiwei12456/eukbin

Documentation:

https://github.com/weiwei12456/eukbin/blob/main/README.md

License:

MIT / MIT

Recipe:

/eukbin/meta.yaml

EukBin is a specialized binning tool for eukaryotic metagenomes that combines repeat-masked tetranucleotide frequency (TNF), multi-sample coverage information, BUSCO marker gene constraints, and deep learning (β-VAE with contrastive loss) with ploidy-aware refinement.

Key features: - Repeat-masked TNF features to handle repeat-rich eukaryotic genomes - BUSCO-guided constraints for accurate bin estimation - Ploidy-aware refinement (haplotig detection for diploid/polyploid genomes) - Deep learning with β-VAE and contrastive loss - Supports multi-sample binning

This package includes: - eukbin run: Complete binning pipeline (M1-M6 modules) - eukbin evaluate: Quality assessment for any binning tool - eukbin report: Multi-tool comparison report

package eukbin

(downloads) docker_eukbin

Versions:

0.1.0-0

Depends:
  • on biopython >=1.78

  • on numpy >=1.19

  • on pandas >=1.0

  • on python >=3.14,<3.15.0a0

  • on pytorch >=1.9

  • on pyyaml

  • on scikit-learn >=0.24

  • on scipy >=1.5

  • on tqdm

Additional platforms:

Installation

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install eukbin

to add into an existing workspace instead, run:

pixi add eukbin

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install eukbin

Alternatively, to install into a new environment, run:

conda create -n envname eukbin

with envname being the name of the desired environment.

Container

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/eukbin:<tag>

(see eukbin/tags for valid values for <tag>).

Integrated deployment

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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