uncultured bacterium
This sample represents a Third Party Annotation (TPA) Metagenome-assembled genome generated from the metagenomic sample SRS098881 of study SRP002163.
ENA first public
2026-07-08
INSDC center name
EMG
INSDC status
public
Submitter Id
MGYG000216142
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
missing: third party data
binning parameters
missing: third party data
binning software
missing: third party data
broad-scale environmental context
human-associated habitat
broker name
EBI-EMG
collection date
missing: third party data
completeness score
94.14
completeness software
CheckM2_v1.1.0
contamination score
0.05
environmental medium
stool
geographic location (country and/or sea)
missing: third party data
geographic location (latitude)
missing: third party data
geographic location (longitude)
missing: third party data
investigation type
metagenome-assembled genome
isolation_source
human gut metagenome
local environmental context
human gut
metagenomic source
human gut metagenome
project name
The HMP metagenomes production phase represents the shotgun sequencing of metagenomic DNA extracted from samples taken from multiple body sites across hundreds of human subjects. Coupled with the other data generated during the HMP project, these results will provide insights into the genes and pathways present in the human microbiome. We are learning more and more about the ways that human health is influenced by the complex and dynamic communities of microbes (the human microbiota) present on and within our bodies. Disruptions in these communities may trigger or influence the course of various disease states. Preliminary studies have shown this to be the case for certain diseases. The Human Microbiome Project expands on these studies to better understand, prevent and treat many human diseases.
sample derived from
SRS098881
sample name
MGYG000216142
scientific_name
uncultured bacterium
sequencing method
missing: third party data
taxonomic identity marker
multi-marker approach