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koszullab/metaTOR: Metagenomic binning based on Hi-C data

github.com · 1,475 words · saved by 1 readers

You only have a single verified email address. We recommend verifying at least one more email address to ensure you can recover your account if you lose access to your primary email. There was an error while loading. Please reload this page. Metagenomic binning based on Hi-C data There was an error while loading. Please reload this page. Metagenomic Tridimensional Organisation-based Reassembly - A set of scripts that streamlines the processing and binning of metagenomic metaHiC datasets. conda is the recommended way to install the latest metator release: Note: although metator itself is available from Pypi, several additional libraries are not available from Pypi and must be installed separately. Please consider the following before installing metator: Python 3.9 to 3.11 is required. The following dependencies should also be locally installed and available in the $PATH: The following non-pythonic librairies are embedded when installing metator with pip: louvain 0.3 and leiden

Metagenomic Tridimensional Organisation-based Reassembly - A set of scripts that streamlines the processing and binning of metagenomic metaHiC datasets. Installation With conda With pip Development version Usage Output files Contributions References Contact Authors Research lab Installation With conda conda is the recommended way to install the latest metator release: conda create -n metator bioconda::metator With pip Note: although metator itself is available from Pypi, several additional libraries are not available from Pypi and must be installed separately. Please…

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