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jmk-ude.bsky.social

@jmk-ude.bsky.social

Reposted by @jmk-ude.bsky.social

The Probst Lab @probstlab.bsky.social · 02/04/2026

👉 Read the preprint, led by @jmk-ude.bsky.social: www.biorxiv.org/content/10.6... Let us know what you think, and leave no MAG unrefined! github.com/ProbstLab/it... 🐍 $ mamba install bioconda::itbins @geomicrosoares.bsky.social @alexjprobst.bsky.social @unidue.bsky.social @unimarburg.bsky.social

biorxiv.org

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Reposted by @jmk-ude.bsky.social

The Probst Lab @probstlab.bsky.social · 02/04/2026

🤯 Manual MAG refinement? Still doing it by hand?? We’ve been there... You could just leave those messy, ill-assigned contigs/scaffolds in your data for NCBI to pick up during your submission… …OR you could add itBins, our new automated MAG refiner by @jmk-ude.bsky.social, to your pipeline!! 🔥

Figure 1 shows the conceptual workflow of the algorithm. It first loads the configuration file and the input data of one or multiple binned metagenomes, yet evaluates each bin individually. It then iteratively processes each candidate bin in the input, going through the refinement tasks, potentially multiple times. The refinement either stops when the last step or a preset stop task have been reached or an unrecoverable error has been encountered. The algorithm tasks can be configured individually.

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