Why bother reconstructing MAGs ?

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metagenomics Bioinformatics Assembly computational-biology binning

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  • aviary

    A hybrid assembly and MAG recovery pipeline (and more!)

  • metaGEM

    :gem: An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data

    • TLDR you get higher genomic resolution compared to 16S. Also consider the fact that there is a lot of strain level variation within species, which you completely miss out on without shotgun or long read sequencing. Self plugging our workflow that takes in shotgun sequencing reads, assembles MAGs and then reconstructs metabolic models that can be used for flux balance analysis simulations https://github.com/franciscozorrilla/metaGEM

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    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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