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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
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Perhaps you may be interested in contributing to the development of the metaGEM pipeline? There are a number of ideas/modifications that I wanted to explore but have not had the time to do yet, you can find these in the issues sections with the "method" flag (https://github.com/franciscozorrilla/metaGEM/labels/method). You can have a look and see if anything piques your interest, in particular I think this would be a good one to address: https://github.com/franciscozorrilla/metaGEM/issues/31 . Here is the paper if you want to get more info about the pipeline itself: doi.org/10.1093/nar/gkab815
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