File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data

TitleEmerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data
Authors
KeywordsBig data
China Microbiome Initiative
Method development
Microbiome
Single-cell analysis
Issue Date2017
Citation
Engineering, 2017, v. 3, n. 1, p. 66-70 How to Cite?
AbstractMethod development has always been and will continue to be a core driving force of microbiome science. In this perspective, we argue that in the next decade, method development in microbiome analysis will be driven by three key changes in both ways of thinking and technological platforms: ① a shift from dissecting microbiota structure by sequencing to tracking microbiota state, function, and intercellular interaction via imaging; ② a shift from interrogating a consortium or population of cells to probing individual cells; and ③ a shift from microbiome data analysis to microbiome data science. Some of the recent method-development efforts by Chinese microbiome scientists and their international collaborators that underlie these technological trends are highlighted here. It is our belief that the China Microbiome Initiative has the opportunity to deliver outstanding “Made-in-China” tools to the international research community, by building an ambitious, competitive, and collaborative program at the forefront of method development for microbiome science.
Persistent Identifierhttp://hdl.handle.net/10722/311532
ISSN
2023 Impact Factor: 10.1
2023 SCImago Journal Rankings: 1.646
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXu, Jian-
dc.contributor.authorMa, Bo-
dc.contributor.authorSu, Xiaoquan-
dc.contributor.authorHuang, Shi-
dc.contributor.authorXu, Xin-
dc.contributor.authorZhou, Xuedong-
dc.contributor.authorHuang, Wei E.-
dc.contributor.authorKnight, Rob-
dc.date.accessioned2022-03-22T11:54:10Z-
dc.date.available2022-03-22T11:54:10Z-
dc.date.issued2017-
dc.identifier.citationEngineering, 2017, v. 3, n. 1, p. 66-70-
dc.identifier.issn2095-8099-
dc.identifier.urihttp://hdl.handle.net/10722/311532-
dc.description.abstractMethod development has always been and will continue to be a core driving force of microbiome science. In this perspective, we argue that in the next decade, method development in microbiome analysis will be driven by three key changes in both ways of thinking and technological platforms: ① a shift from dissecting microbiota structure by sequencing to tracking microbiota state, function, and intercellular interaction via imaging; ② a shift from interrogating a consortium or population of cells to probing individual cells; and ③ a shift from microbiome data analysis to microbiome data science. Some of the recent method-development efforts by Chinese microbiome scientists and their international collaborators that underlie these technological trends are highlighted here. It is our belief that the China Microbiome Initiative has the opportunity to deliver outstanding “Made-in-China” tools to the international research community, by building an ambitious, competitive, and collaborative program at the forefront of method development for microbiome science.-
dc.languageeng-
dc.relation.ispartofEngineering-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectBig data-
dc.subjectChina Microbiome Initiative-
dc.subjectMethod development-
dc.subjectMicrobiome-
dc.subjectSingle-cell analysis-
dc.titleEmerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/J.ENG.2017.01.020-
dc.identifier.scopuseid_2-s2.0-85019112886-
dc.identifier.volume3-
dc.identifier.issue1-
dc.identifier.spage66-
dc.identifier.epage70-
dc.identifier.isiWOS:000398040300009-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats