Deconvolution model to resolve cytometric microbial community patterns in flowing waters-Reference-Cited by-同舟云学术

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Deconvolution model to resolve cytometric microbial community patterns in flowing waters

Published:2017-12-19 Issue:2 Volume:93 Page:194-200
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Amalfitano Stefano¹,Fazi Stefano¹,Ejarque Elisabet²,Freixa Anna³,Romaní Anna M.⁴,Butturini Andrea⁵

Affiliation:

1. Water Research Institute; National Research Council of Italy (IRSA-CNR); Rome Italy

2. WasserCluster Lunz - Biologische Station; Lunz am See Austria

3. Catalan Institute for Water Research (ICRA); Girona Spain

4. Institute of Aquatic Ecology; University of Girona; Girona Spain

5. Departament de Biología Evolutiva; Ecología i Ciencias Ambientales, Universitat de Barcelona; Barcelona Spain

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference59 articles.

1. Macroecological patterns of phytoplankton in the northwestern North Atlantic Ocean;Li;Nature,2002

2. Dynamics in the microbial cytome-single cell analytics in natural systems;Koch;Curr Opin Biotechnol,2014

3. The challenge of clustering flow cytometry data from phytoplankton in lakes;Glüge;Nonlinear Dyn Electron Syst Commun Comput Inf Sci,2014

4. Tools for discrimination and analysis of lake bacterioplankton subgroups measured by flow cytometry in a high-resolution depth profile;Andreatta;Aquat Microb Ecol,2004

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