Why bother reconstructing MAGs ?

This page summarizes the projects mentioned and recommended in the original post on /r/bioinformatics

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • 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

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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.

Suggest a related project

Related posts