Predicting bacterial community assemblages using an artificial neural network approach
Published 2012 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting bacterial community assemblages using an artificial neural network approach
Authors
Keywords
-
Journal
NATURE METHODS
Volume 9, Issue 6, Pages 621-625
Publisher
Springer Nature
Online
2012-04-16
DOI
10.1038/nmeth.1975
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A genomic network to monitor Earth
- (2012) Neil Davies et al. NATURE
- Warming Oceans, Phytoplankton, and River Discharge: Implications for Cholera Outbreaks
- (2011) Antarpreet S. Jutla et al. AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE
- Marine bacterial, archaeal and protistan association networks reveal ecological linkages
- (2011) Joshua A Steele et al. ISME Journal
- Defining seasonal marine microbial community dynamics
- (2011) Jack A Gilbert et al. ISME Journal
- Using network analysis to explore co-occurrence patterns in soil microbial communities
- (2011) Albert Barberán et al. ISME Journal
- Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications
- (2011) Pelin Yilmaz et al. NATURE BIOTECHNOLOGY
- Phosphorus Chemistry and Bacterial Community Composition Interact in Brackish Sediments Receiving Agricultural Discharges
- (2011) Hanna Sinkko et al. PLoS One
- Activity of abundant and rare bacteria in a coastal ocean
- (2011) B. J. Campbell et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Modeling Diverse Communities of Marine Microbes
- (2010) Michael J. Follows et al. Annual Review of Marine Science
- Seasonal and annual reoccurrence in betaproteobacterial ammonia-oxidizing bacterial population structure
- (2010) Nicholas J. Bouskill et al. ENVIRONMENTAL MICROBIOLOGY
- Metagenomic Sequencing of an In Vitro-Simulated Microbial Community
- (2010) Jenna L. Morgan et al. PLoS One
- Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample
- (2010) J. G. Caporaso et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Abundance and the Environmental Niche: Environmental Suitability Estimated from Niche Models Predicts the Upper Limit of Local Abundance
- (2009) Jeremy VanDerWal et al. AMERICAN NATURALIST
- Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
- (2009) Jane Elith et al. Annual Review of Ecology Evolution and Systematics
- Linking local ecological knowledge and habitat modelling to predict absolute species abundance on large scales
- (2009) José Daniel Anadón et al. BIODIVERSITY AND CONSERVATION
- A broad spatio-temporal view of the Western English Channel observatory
- (2009) T. J. Smyth et al. JOURNAL OF PLANKTON RESEARCH
- Distilling Free-Form Natural Laws from Experimental Data
- (2009) Michael Schmidt et al. SCIENCE
- Usefulness of Bioclimatic Models for Studying Climate Change and Invasive Species
- (2008) Jonathan M. Jeschke et al. Annals of the New York Academy of Sciences
- Rules of Engagement: Interspecies Interactions that Regulate Microbial Communities
- (2008) Ainslie E.F. Little et al. Annual Review of Microbiology
- LANDSCAPE ECOLOGY OF EASTERN COYOTES BASED ON LARGE-SCALE ESTIMATES OF ABUNDANCE
- (2008) Roland W. Kays et al. ECOLOGICAL APPLICATIONS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started