Suppr超能文献

利用生物医学本体和注释服务来整理来自哺乳动物宿主的微生物组数据。

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

作者信息

Sarkar Indra Neil

机构信息

Center for Clinical & Translational Science, Department of Microbiology & Molecular Genetics, and Department of Computer Science, University of Vermont, Burlington, VT.

出版信息

AMIA Annu Symp Proc. 2010 Nov 13;2010:717-21.

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.

摘要

更好地理解共生微生物群落(“微生物组”)可能为人类健康提供有价值的见解。为了实现这一目标,一个关键步骤可能是开发能够组织数据的方法,以便对哺乳动物微生物组进行比较假设。本研究探讨了利用现有生物医学信息学资源——特别是关注国家生物医学本体中心提供的资源——来组织大型序列库(如GenBank)中包含的微生物组数据的可行性。结果表明,解剖学基础模型和SNOMED CT可用于组织与10种家养哺乳动物物种相关的90%以上的细菌生物体。这些有前景的发现表明,当前的生物医学信息学基础设施可用于组织人类以外的微生物组数据。此外,研究结果确定了一些关键概念,这些概念可能被组织成一种语义结构,以便纳入后续注释中,从而促进与人类健康相关的比较生物医学假设。

相似文献

2
Quality assurance and enrichment of biological and biomedical ontologies and terminologies.
BMC Med Inform Decis Mak. 2020 Dec 15;20(Suppl 10):301. doi: 10.1186/s12911-020-01342-4.
3
The use of semantic distance metrics to support ontology audit.
AMIA Annu Symp Proc. 2010 Nov 13;2010:842-6.
4
Towards a Semantic Data Harmonization Federated Infrastructure.
Stud Health Technol Inform. 2021 May 27;281:38-42. doi: 10.3233/SHTI210116.
5
From lexical regularities to axiomatic patterns for the quality assurance of biomedical terminologies and ontologies.
J Biomed Inform. 2018 Aug;84:59-74. doi: 10.1016/j.jbi.2018.06.008. Epub 2018 Jun 14.
6
SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes.
BMC Bioinformatics. 2018 Nov 6;19(1):405. doi: 10.1186/s12859-018-2429-2.
7
A framework for unifying ontology-based semantic similarity measures: a study in the biomedical domain.
J Biomed Inform. 2014 Apr;48:38-53. doi: 10.1016/j.jbi.2013.11.006. Epub 2013 Nov 21.
8
Using ontology-based semantic similarity to facilitate the article screening process for systematic reviews.
J Biomed Inform. 2017 May;69:33-42. doi: 10.1016/j.jbi.2017.03.007. Epub 2017 Mar 14.

引用本文的文献

1
GenBank as a source to monitor and analyze Host-Microbiome data.
Bioinformatics. 2022 Sep 2;38(17):4172-4177. doi: 10.1093/bioinformatics/btac487.
2
Named entity linking of geospatial and host metadata in GenBank for advancing biomedical research.
Database (Oxford). 2017 Jan 1;2017:bax093. doi: 10.1093/database/bax093.
3
SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes.
BMC Bioinformatics. 2018 Nov 6;19(1):405. doi: 10.1186/s12859-018-2429-2.
4
GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records.
Bioinformatics. 2018 May 1;34(9):1606-1608. doi: 10.1093/bioinformatics/btx799.
5
A high-precision rule-based extraction system for expanding geospatial metadata in GenBank records.
J Am Med Inform Assoc. 2016 Sep;23(5):934-41. doi: 10.1093/jamia/ocv172. Epub 2016 Jan 17.
6
Leveraging biodiversity knowledge for potential phyto-therapeutic applications.
J Am Med Inform Assoc. 2013 Jul-Aug;20(4):668-79. doi: 10.1136/amiajnl-2012-001445. Epub 2013 Mar 21.
7
Towards Structuring Unstructured GenBank Metadata for Enhancing Comparative Biological Studies.
AMIA Jt Summits Transl Sci Proc. 2011;2011:6-10. Epub 2011 Mar 7.
8
The National Center for Biomedical Ontology.
J Am Med Inform Assoc. 2012 Mar-Apr;19(2):190-5. doi: 10.1136/amiajnl-2011-000523. Epub 2011 Nov 10.
9
NCBO Resource Index: Ontology-Based Search and Mining of Biomedical Resources.
Web Semant. 2011 Sep 1;9(3):316-324. doi: 10.1016/j.websem.2011.06.005.

本文引用的文献

1
A human gut microbial gene catalogue established by metagenomic sequencing.
Nature. 2010 Mar 4;464(7285):59-65. doi: 10.1038/nature08821.
2
A new measurement of sequence conservation.
BMC Genomics. 2009 Dec 22;10:623. doi: 10.1186/1471-2164-10-623.
3
Regulatory DNAs and the evolution of human development.
Curr Opin Genet Dev. 2009 Dec;19(6):557-64. doi: 10.1016/j.gde.2009.10.002. Epub 2009 Nov 11.
4
Database resources of the National Center for Biotechnology Information.
Nucleic Acids Res. 2010 Jan;38(Database issue):D5-16. doi: 10.1093/nar/gkp967. Epub 2009 Nov 12.
5
The NIH Human Microbiome Project.
Genome Res. 2009 Dec;19(12):2317-23. doi: 10.1101/gr.096651.109. Epub 2009 Oct 9.
6
The degree of microbiome complexity influences the epithelial response to infection.
BMC Genomics. 2009 Aug 18;10:380. doi: 10.1186/1471-2164-10-380.
7
The microbiome and obesity: is obesity linked to our gut flora?
Curr Gastroenterol Rep. 2009 Aug;11(4):307-13. doi: 10.1007/s11894-009-0045-z.
8
The core gut microbiome, energy balance and obesity.
J Physiol. 2009 Sep 1;587(Pt 17):4153-8. doi: 10.1113/jphysiol.2009.174136. Epub 2009 Jun 2.
9
The human microbiome--a therapeutic target for prevention and treatment of chronic disease.
Curr Pharm Des. 2009;15(13):1401-2. doi: 10.2174/138161209788168137.
10
Autoimmune disease in the era of the metagenome.
Autoimmun Rev. 2009 Jul;8(8):677-81. doi: 10.1016/j.autrev.2009.02.016. Epub 2009 Feb 13.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验