Ontology type: schema:ScholarlyArticle Open Access: True
2020-07-20
AUTHORSAlexandre Almeida, Stephen Nayfach, Miguel Boland, Francesco Strozzi, Martin Beracochea, Zhou Jason Shi, Katherine S. Pollard, Ekaterina Sakharova, Donovan H. Parks, Philip Hugenholtz, Nicola Segata, Nikos C. Kyrpides, Robert D. Finn
ABSTRACTComprehensive, high-quality reference genomes are required for functional characterization and taxonomic assignment of the human gut microbiota. We present the Unified Human Gastrointestinal Genome (UHGG) collection, comprising 204,938 nonredundant genomes from 4,644 gut prokaryotes. These genomes encode >170 million protein sequences, which we collated in the Unified Human Gastrointestinal Protein (UHGP) catalog. The UHGP more than doubles the number of gut proteins in comparison to those present in the Integrated Gene Catalog. More than 70% of the UHGG species lack cultured representatives, and 40% of the UHGP lack functional annotations. Intraspecies genomic variation analyses revealed a large reservoir of accessory genes and single-nucleotide variants, many of which are specific to individual human populations. The UHGG and UHGP collections will enable studies linking genotypes to phenotypes in the human gut microbiome. More... »
PAGES105-114
http://scigraph.springernature.com/pub.10.1038/s41587-020-0603-3
DOIhttp://dx.doi.org/10.1038/s41587-020-0603-3
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/32690973
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"10.1038/s41587-020-0603-3"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"32690973"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41587-020-0603-3",
"https://app.dimensions.ai/details/publication/pub.1129483269"
],
"sdDataset": "articles",
"sdDatePublished": "2022-08-04T17:10",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_863.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1038/s41587-020-0603-3"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41587-020-0603-3'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41587-020-0603-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41587-020-0603-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41587-020-0603-3'
This table displays all metadata directly associated to this object as RDF triples.
404 TRIPLES
21 PREDICATES
117 URIs
74 LITERALS
16 BLANK NODES