Description:
apclusterv 1.2.5
Apclusterv: Clustering viral genomes with Affinity Propagation
Apclusterv is a novel clustering software for viral genomes. The input genomes can be either complete genomes or contigs from metagenomic assembly. The program is based on protein-protein alignment and written in python
The current stable version is 1.2.5
Dependencies:
python>=3.8
pandas
numpy
networkx >= 2.8.4
scipy >=1.8.1
scikit-learn >= 1.1.2
MCL
diamond >= 0.9.14
prodigal >= 2.6.3
R>=3.6.1
Installation:
Suppose you are in a conda environment, you need to install MCL, prodigal (for ORF prediction),diamond (for alignment) and R(if not already installed, we just need stats library in r-base)
conda install diamond -c bioconda
conda install mcl -c bioconda
conda install prodigal -c bioconda
conda install r-base
pip install apclusterv==1.2.5
Getting Started:
option 1. start with contigs
step1. preduct ORFs from the DNA file with the following command:
prepare contig_dna_fasta
(contig_dna_fasta is the path to the dna sequences for clustering)
step2. execute clustering with the following command:
apclusterv -contig contig_dna_fasta
option 2. if you already have protein sequences from the contigs, you can run apclusterv by the proteins and a protein-contig map file.
An example of protein file and mapfile are data/experiment1.faa and data/experiment1.csv
apclusterv -protein experiment1.faa -csv experiment1.csv
Help message and parameter setting
apclusterv -h
Results
The program will create tmp/ directory. The clustering result is tmp/cluster_result.i.r.csv
(cluster_result.3.4.csv by default)
Simulation profile used in the manuscript is in data/profile.csv
RI and ARI for evalation script is data/eval.py
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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