Song, H.-S., et al. Mathematical Modeling of Microbial Community Dynamics: A Methodological Review. Processes 2014, 2, 711–752

Song, Hyun-Seob; Cannon, William; Beliaev, Alexander; Konopka, Allan

doi:10.3390/pr3030699

Title: Song, H.-S., et al. Mathematical Modeling of Microbial Community Dynamics: A Methodological Review. Processes 2014, 2, 711–752

Abstract

The authors wish to make the following correction to this paper [1]. Due to mislabeling, replace: [...]

Authors:: Song, Hyun-Seob; Cannon, William; Beliaev, Alexander; Konopka, Allan

Publication Date:: Mon Sep 14 00:00:00 EDT 2015

Sponsoring Org.:: USDOE

OSTI Identifier:: 1871746

Grant/Contract Number:: Biological and Environmental Research (FWP 56820); Biological and Environmental Research (FWP 56812); Laboratory Directed Research and Development

Resource Type:: Published Article

Journal Name:: Processes

Additional Journal Information:: Journal Name: Processes Journal Volume: 3 Journal Issue: 3; Journal ID: ISSN 2227-9717

Publisher:: MDPI AG

Country of Publication:: Switzerland

Language:: English

Citation Formats


                    Song, Hyun-Seob, Cannon, William, Beliaev, Alexander, and Konopka, Allan. Song, H.-S., et al. Mathematical Modeling of Microbial Community Dynamics: A Methodological Review. Processes 2014, 2, 711–752.  Switzerland: N. p., 2015. 
Web.  doi:10.3390/pr3030699.

Copy to clipboard


                    Song, Hyun-Seob, Cannon, William, Beliaev, Alexander, & Konopka, Allan. Song, H.-S., et al. Mathematical Modeling of Microbial Community Dynamics: A Methodological Review. Processes 2014, 2, 711–752.  Switzerland.  https://doi.org/10.3390/pr3030699

Copy to clipboard


                    Song, Hyun-Seob, Cannon, William, Beliaev, Alexander, and Konopka, Allan. Mon .  
"Song, H.-S., et al. Mathematical Modeling of Microbial Community Dynamics: A Methodological Review. Processes 2014, 2, 711–752".  Switzerland.  https://doi.org/10.3390/pr3030699.

Copy to clipboard


                    
@article{osti_1871746,

  title        = {Song, H.-S., et al. Mathematical Modeling of Microbial Community Dynamics: A Methodological Review. Processes 2014, 2, 711–752},

  author       = {Song, Hyun-Seob and Cannon, William and Beliaev, Alexander and Konopka, Allan},

  abstractNote = {The authors wish to make the following correction to this paper [1]. Due to mislabeling, replace: [...]},

  doi          = {10.3390/pr3030699},

  journal      = {Processes},

  number       = 3,

  volume       = 3,

  place        = {Switzerland},

  year         = {Mon Sep 14 00:00:00 EDT 2015},

  month        = {Mon Sep 14 00:00:00 EDT 2015}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Publisher's Version of Record
https://doi.org/10.3390/pr3030699

Other availability

Search WorldCat to find libraries that may hold this journal

Save / Share:

Export Metadata

Save to My Library

Works referenced in this record:

Mathematical Modeling of Microbial Community Dynamics: A Methodological Review
journal, October 2014

Song, Hyun-Seob; Cannon, William; Beliaev, Alexander
Processes, Vol. 2, Issue 4
DOI: 10.3390/pr2040711

Similar Records in DOE PAGES and OSTI.GOV collections:

Mathematical Modeling of Microbial Community Dynamics: A Methodological Review

Journal Article Song, Hyun-Seob ; Cannon, William ; Beliaev, Alexander ; ... - Processes
https://doi.org/10.3390/pr2040711
Single-cell proteomics reveals changes in expression during hair-cell development

Journal Article Zhu, Ying ; Scheibinger, Mirko ; Ellwanger, Daniel Christian ; ... - eLife

Hearing and balance rely on small sensory hair cells that reside in the inner ear. To explore dynamic changes in the abundant proteins present in differentiating hair cells, we used nanoliter-scale shotgun mass spectrometry of single cells, each ~1 picoliter, from utricles of embryonic day 15 chickens. We identified unique constellations of proteins or protein groups from presumptive hair cells and from progenitor cells. The single-cell proteomes enabled the de novo reconstruction of a developmental trajectory using protein expression levels, revealing proteins that greatly increased in expression during differentiation of hair cells (e.g., OCM, CRABP1, GPX2, AK1, GSTO1) and thosemore »« less
Cited by 55
https://doi.org/10.7554/eLife.50777
Using radar observations to evaluate 3-D radar echo structure simulated by the Energy Exascale Earth System Model (E3SM) version 1

Journal Article Wang, Jingyu ; Fan, Jiwen ; Houze Jr., Robert A. ; ... - Geoscientific Model Development (Online)

Abstract. The Energy Exascale Earth System Model (E3SM) developed by the Department of Energy has a goal of addressing challenges in understanding the global water cycle. Success depends on correct simulation of cloud and precipitation elements. However, lack of appropriate evaluation metrics has hindered the accurate representation of these elements in general circulation models. We derive metrics from the three-dimensional data of the ground-based Next-Generation Radar (NEXRAD) network over the US to evaluate both horizontal and vertical structures of precipitation elements. We coarsened the resolution of the radar observations to be consistent with the model resolution and improved the couplingmore »« less
https://doi.org/10.5194/gmd-14-719-2021
Exploring the Use of DSCOVR/EPIC Satellite Observations to Monitor Vegetation Phenology

Journal Article Weber, Maridee ; Hao, Dalei ; Asrar, Ghassem R. ; ... - Remote Sensing

Vegetation phenology plays a pivotal role in regulating several ecological processes and has profound impacts on global carbon exchange. Large-scale vegetation phenology monitoring mostly relies on Low-Earth-Orbit satellite observations with low temporal resolutions, leaving gaps in data that are important for monitoring seasonal vegetation phenology. High temporal resolution satellite observations have the potential to fill this gap by frequently collecting observations on a global scale, making it easier to study change over time. This study explored the potential of using the Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR) satellite, which captures images of the entiremore »« less
Cited by 7
https://doi.org/10.3390/rs12152384
A mechanistic model and therapeutic interventions for COVID-19 involving a RAS-mediated bradykinin storm

Journal Article Garvin, Michael R. ; Alvarez, Christiane ; Miller, J. Izaak ; ... - eLife

Neither the disease mechanism nor treatments for COVID-19 are currently known. Here, we present a novel molecular mechanism for COVID-19 that provides therapeutic intervention points that can be addressed with existing FDA-approved pharmaceuticals. The entry point for the virus is ACE2, which is a component of the counteracting hypotensive axis of RAS. Bradykinin is a potent part of the vasopressor system that induces hypotension and vasodilation and is degraded by ACE and enhanced by the angiotensin _1-9 produced by ACE2. Here, we perform a new analysis on gene expression data from cells in bronchoalveolar lavage fluid (BALF) from COVID-19 patientsmore »« less
Cited by 218
https://doi.org/10.7554/eLife.59177

Similar Records

Title: Song, H.-S., et al. Mathematical Modeling of Microbial Community Dynamics: A Methodological Review. Processes 2014, 2, 711–752

Abstract

Citation Formats

Mathematical Modeling of Microbial Community Dynamics: A Methodological Review journal, October 2014

Mathematical Modeling of Microbial Community Dynamics: A Methodological Review
journal, October 2014