MGLEX - MetaGenome Likelihood EXtractor
Project description
This Python Package provides a probabilistic model to classify nucleotide sequences in metagenome samples. It was developed as a framework to help researchers to reconstruct individual genomes from such datasets using custom workflows and to give developers the possibility to integrate the model into their programs.
Free software: GPLv3 license
Source code: https://github.com/fungs/mglex
Features
Integrates nucleotide composition, multi-sample coverage and taxonomic annotation
Learns a model in linear time with respect to the number of input sequences
Classifies novel sequences in linear time
Calculates likelihood and p-values
Calculates probabilistic distances between genome bins
Credits
This package was created using NumPy by Johannes Dröge at the Computational Biology of Infection Research Group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.
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