Ontology type: schema:ScholarlyArticle Open Access: True
2016-10-19
AUTHORSJustine Debelius, Se Jin Song, Yoshiki Vazquez-Baeza, Zhenjiang Zech Xu, Antonio Gonzalez, Rob Knight
ABSTRACTMany factors affect the microbiomes of humans, mice, and other mammals, but substantial challenges remain in determining which of these factors are of practical importance. Considering the relative effect sizes of both biological and technical covariates can help improve study design and the quality of biological conclusions. Care must be taken to avoid technical bias that can lead to incorrect biological conclusions. The presentation of quantitative effect sizes in addition to P values will improve our ability to perform meta-analysis and to evaluate potentially relevant biological effects. A better consideration of effect size and statistical power will lead to more robust biological conclusions in microbiome studies. More... »
PAGES217
http://scigraph.springernature.com/pub.10.1186/s13059-016-1086-x
DOIhttp://dx.doi.org/10.1186/s13059-016-1086-x
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1047203921
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/27760558
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Environmental Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Animals",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Data Interpretation, Statistical",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Gastrointestinal Microbiome",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Mice",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Research Design",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Sample Size",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Pediatrics, University of California San Diego, La Jolla, CA, USA",
"id": "http://www.grid.ac/institutes/grid.266100.3",
"name": [
"Department of Pediatrics, University of California San Diego, La Jolla, CA, USA"
],
"type": "Organization"
},
"familyName": "Debelius",
"givenName": "Justine",
"id": "sg:person.01027242434.10",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027242434.10"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, USA",
"id": "http://www.grid.ac/institutes/grid.266190.a",
"name": [
"Department of Pediatrics, University of California San Diego, La Jolla, CA, USA",
"Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, USA"
],
"type": "Organization"
},
"familyName": "Song",
"givenName": "Se Jin",
"id": "sg:person.01367233141.21",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367233141.21"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA",
"id": "http://www.grid.ac/institutes/grid.266100.3",
"name": [
"Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA"
],
"type": "Organization"
},
"familyName": "Vazquez-Baeza",
"givenName": "Yoshiki",
"id": "sg:person.01113460501.49",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113460501.49"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Pediatrics, University of California San Diego, La Jolla, CA, USA",
"id": "http://www.grid.ac/institutes/grid.266100.3",
"name": [
"Department of Pediatrics, University of California San Diego, La Jolla, CA, USA"
],
"type": "Organization"
},
"familyName": "Xu",
"givenName": "Zhenjiang Zech",
"id": "sg:person.01161573701.69",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161573701.69"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Pediatrics, University of California San Diego, La Jolla, CA, USA",
"id": "http://www.grid.ac/institutes/grid.266100.3",
"name": [
"Department of Pediatrics, University of California San Diego, La Jolla, CA, USA"
],
"type": "Organization"
},
"familyName": "Gonzalez",
"givenName": "Antonio",
"id": "sg:person.01301120245.46",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301120245.46"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA",
"id": "http://www.grid.ac/institutes/grid.266100.3",
"name": [
"Department of Pediatrics, University of California San Diego, La Jolla, CA, USA",
"Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA"
],
"type": "Organization"
},
"familyName": "Knight",
"givenName": "Rob",
"id": "sg:person.016311745377.96",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016311745377.96"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/nature15766",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014535385",
"https://doi.org/10.1038/nature15766"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ismej.2010.92",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039284129",
"https://doi.org/10.1038/ismej.2010.92"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/srep08988",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032618141",
"https://doi.org/10.1038/srep08988"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nmeth.3869",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016631324",
"https://doi.org/10.1038/nmeth.3869"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/4441022a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018798093",
"https://doi.org/10.1038/4441022a"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/2049-2618-2-19",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026297002",
"https://doi.org/10.1186/2049-2618-2-19"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nmeth.2604",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027743851",
"https://doi.org/10.1038/nmeth.2604"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature11053",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052378845",
"https://doi.org/10.1038/nature11053"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nm.3914",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009083133",
"https://doi.org/10.1038/nm.3914"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2105-12-38",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014960196",
"https://doi.org/10.1186/1471-2105-12-38"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1750-1326-9-36",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023269156",
"https://doi.org/10.1186/1750-1326-9-36"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ismej.2014.3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035706656",
"https://doi.org/10.1038/ismej.2014.3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature11400",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007807212",
"https://doi.org/10.1038/nature11400"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrmicro1978",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015675255",
"https://doi.org/10.1038/nrmicro1978"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ismej.2011.131",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026212527",
"https://doi.org/10.1038/ismej.2011.131"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ncomms10410",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045026422",
"https://doi.org/10.1038/ncomms10410"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12915-014-0087-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027737035",
"https://doi.org/10.1186/s12915-014-0087-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40168-015-0070-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052787542",
"https://doi.org/10.1186/s40168-015-0070-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nmeth.1499",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006708540",
"https://doi.org/10.1038/nmeth.1499"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ncomms9285",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006982960",
"https://doi.org/10.1038/ncomms9285"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature09922",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043309820",
"https://doi.org/10.1038/nature09922"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature18850",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013019120",
"https://doi.org/10.1038/nature18850"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10552-013-0201-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049092363",
"https://doi.org/10.1007/s10552-013-0201-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nmeth.2276",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039195944",
"https://doi.org/10.1038/nmeth.2276"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature11234",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007740093",
"https://doi.org/10.1038/nature11234"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature12820",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013830289",
"https://doi.org/10.1038/nature12820"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature16504",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048142283",
"https://doi.org/10.1038/nature16504"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature07540",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030170002",
"https://doi.org/10.1038/nature07540"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12915-014-0069-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000588445",
"https://doi.org/10.1186/s12915-014-0069-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2180-14-103",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037632603",
"https://doi.org/10.1186/1471-2180-14-103"
],
"type": "CreativeWork"
}
],
"datePublished": "2016-10-19",
"datePublishedReg": "2016-10-19",
"description": "Many factors affect the microbiomes of humans, mice, and other mammals, but substantial challenges remain in determining which of these factors are of practical importance. Considering the relative effect sizes of both biological and technical covariates can help improve study design and the quality of biological conclusions. Care must be taken to avoid technical bias that can lead to incorrect biological conclusions. The presentation of quantitative effect sizes in addition to P values will improve our ability to perform meta-analysis and to evaluate potentially relevant biological effects. A better consideration of effect size and statistical power will lead to more robust biological conclusions in microbiome studies.",
"genre": "article",
"id": "sg:pub.10.1186/s13059-016-1086-x",
"inLanguage": "en",
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.2436201",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1023439",
"issn": [
"1474-760X",
"1465-6906"
],
"name": "Genome Biology",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "17"
}
],
"keywords": [
"biological conclusions",
"practical importance",
"statistical power",
"microbiome studies",
"better consideration",
"gut microbiome studies",
"relative effect sizes",
"size",
"power",
"covariates",
"design",
"p-value",
"consideration",
"effect size",
"bias",
"values",
"substantial challenges",
"technical bias",
"enormous impact",
"importance",
"effect",
"technical covariates",
"addition",
"quality",
"conclusion",
"study",
"factors",
"challenges",
"ability",
"impact",
"presentation",
"study design",
"microbiomes of humans",
"tiny microbes",
"relevant biological effects",
"biological effects",
"microbiome",
"mammals",
"microbes",
"humans",
"mice",
"care",
"quantitative effect sizes"
],
"name": "Tiny microbes, enormous impacts: what matters in gut microbiome studies?",
"pagination": "217",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1047203921"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s13059-016-1086-x"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"27760558"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s13059-016-1086-x",
"https://app.dimensions.ai/details/publication/pub.1047203921"
],
"sdDataset": "articles",
"sdDatePublished": "2022-06-01T22:14",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_698.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1186/s13059-016-1086-x"
}
]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.10.1186/s13059-016-1086-x'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13059-016-1086-x'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13059-016-1086-x'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13059-016-1086-x'
This table displays all metadata directly associated to this object as RDF triples.
300 TRIPLES
22 PREDICATES
107 URIs
68 LITERALS
14 BLANK NODES