Evidence map›Paper›PMID 21347072›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010

Leveraging biomedical ontologies and annotation services to organize microbiome data from Mammalian hosts.

Indra Neil Sarkar

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Named entity linking of geospatial and host metadata in GenBank for advancing biomedical research.Database : the journal of biological databases and curation · 2017
    Article
  5. A high-precision rule-based extraction system for expanding geospatial metadata in GenBank records.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  6. Article
  7. Towards Structuring Unstructured GenBank Metadata for Enhancing Comparative Biological Studies.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2011
    Article
  8. Leveraging biodiversity knowledge for potential phyto-therapeutic applications.Journal of the American Medical Informatics Association : JAMIA
    Article
  9. The National Center for Biomedical Ontology.Journal of the American Medical Informatics Association : JAMIA
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Indra Neil SarkarCenter for Clinical & Translational Science, Department of Microbiology & Molecular Genetics, and Department of Computer Science, University of Vermont, Burlington, VT.
University of Vermont · US

Funding

Enhancing Organism Based Disease Knowledge Via Name Based Taxonomic IntelligenceR01LM009725 · NLM · MARINE BIOLOGICAL LABORATORY · PI SARKAR, INDRA N · 2008 to 2010
$1.1M
NLM NIH HHS R01 LM009725
6 · The paper itself

Abstract

A better understanding of commensal microbiotic communities ("microbiomes") may provide valuable insights to human health. Towards this goal, an essential step may be the development of approaches to organize data that can enable comparative hypotheses across mammalian microbiomes. The present study explores the feasibility of using existing biomedical informatics resources - especially focusing on those available at the National Center for Biomedical Ontology - to organize microbiome data contained within large sequence repositories, such as GenBank. The results indicate that the Foundational Model of Anatomy and SNOMED CT can be used to organize greater than 90% of the bacterial organisms associated with 10 domesticated mammalian species. The promising findings suggest that the current biomedical informatics infrastructure may be used towards the organizing of microbiome data beyond humans. Furthermore, the results identify key concepts that might be organized into a semantic structure for incorporation into subsequent annotations that could facilitate comparative biomedical hypotheses pertaining to human health.

Indexed as

Biological OntologiesSystematized Nomenclature of MedicineHumansMicrobiotaSemanticsVocabulary, Controlled

Identifiers

PMID21347072
PMCPMC3041364
OpenAlexW2140291614

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.