Metadata-Version: 2.1
Name: aniclustermap
Version: 1.0.0
Summary: A tool for drawing ANI clustermap between all-vs-all microbial genomes
Home-page: https://github.com/moshi4/ANIclustermap/
License: MIT
Keywords: bioinformatics,genomics,phylogenetics,visualization,clustermap
Author: moshi
Requires-Python: >=3.8,<4.0
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Dist: pandas (>=1.4.1,<2.0.0)
Requires-Dist: seaborn (>=0.11.2,<0.12.0)
Project-URL: Repository, https://github.com/moshi4/ANIclustermap/
Description-Content-Type: text/markdown

# ANIclustermap

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## Overview

ANIclustermap is easy-to-use tool for drawing ANI(Average Nucleotide Identity) clustermap between all-vs-all microbial genomes.

![ANIclustermap.png](https://raw.githubusercontent.com/moshi4/ANIclustermap/main/images/small_dataset/ANIclustermap_annotation.png)  
Fig1. ANIclustermap between all-vs-all 18 genomes. If no similarity detected by fastANI, filled in gray.

![ANIclustermap.png](https://raw.githubusercontent.com/moshi4/ANIclustermap/main/images/normal_dataset/ANIclustermap.png)  
Fig2. ANIclustermap between all-vs-all 33 genomes.

## Installation

ANIclustermap is implemented in Python3. [fastANI](https://github.com/ParBLiSS/FastANI) is required to calculate ANI.

Install PyPI stable version with pip:

    pip install aniclustermap

Install latest development version with pip:

    pip install git+https://github.com/moshi4/ANIclustermap.git

## Workflow

Description of ANIclustermap's automated workflow.

1. Calculate ANI between all-vs-all microbial genomes by fastANI.  
   If no similarity detected by fastANI, NA is output. In that case, NA is replaced by 0.0.  
   If previous result available at the time of re-run, reuse previous result.
2. Clustering ANI matrix by scipy's UPGMA method.  
3. Using clustered matrix, draw ANI clustermap by seaborn.  

## Usage

### Basic Command

    ANIclustermap -i [Genome fasta directory] -o [output directory]

### Options

    -h, --help           show this help message and exit
    -i I, --indir I      Input genome fasta directory (*.fa|*.fna[.gz]|*.fasta)
    -o O, --outdir O     Output directory
    -t , --thread_num    fastANI thread number parameter (Default: MaxThread - 1)
    --fig_width          Figure width (Default: 10)
    --fig_height         Figure height (Default: 10)
    --dendrogram_ratio   Dendrogram ratio to figsize (Default: 0.15)
    --cmap_colors        cmap interpolation colors parameter (Default: 'lime,yellow,red')
    --cmap_gamma         cmap gamma parameter (Default: 1.0)
    --annotation         Show ANI value annotation (Default: OFF)
    -v, --version        Print version information

### Example Command

    ANIclustermap -i ./example/input/small_dataset/ -o ./aniclustermap_result --fig_width 15

## Output Contents

ANIclustermap outputs 3 types of files.

- **`ANIclustermap.[png|svg]`**  ([example1](https://github.com/moshi4/ANIclustermap/blob/main/example/output/05_normal_dataset/ANIclustermap.png), [example2](https://github.com/moshi4/ANIclustermap/blob/main/example/output/06_normal_dataset_annotation/ANIclustermap.png))  
  ANI clustermap result figure.

- **`ANIclustermap_matrix.tsv`** ([example](https://github.com/moshi4/ANIclustermap/blob/main/example/output/05_normal_dataset/ANIclustermap_matrix.tsv))  
  Clustered all-vs-all ANI matrix.

- **`ANIclustermap_dendrogram.nwk`** ([example](https://github.com/moshi4/ANIclustermap/blob/main/example/output/05_normal_dataset/ANIclustermap_dendrogram.nwk))  
  Newick format clustering dendrogram.

## Gallery

