Knowledge graph centered on Metagenomic HMM metabolic profiling with 70 nodes and 157 connections. Top connected: Bacteria, leaf water content, Crested Butte, carbon cycling, biogeochemical reactions.
Comprehensive Hidden Markov Model analysis of metagenomic sequences to identify and quantify metabolic functions across biogeochemical pathways. Uses both standardized TIGR-FAM and custom HMM databases with specific cutoff scores for gene identification.
Synthesized from method descriptions across 2 papers using this protocol.
Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale (2021), Microbiome. Implementations in other papers (listed below) may differ.