Downloads provided by UsageCountsMaster Coral database used in USVI SCTLD Transmission Experiment Gene Expression Analysis
NSF| EAGER: Collaborative Research: Quantifying coral microbiome dynamics under change ,
NSF| RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits ,
NSF| VI-EPSCoR: RII: Building Research Strength in the US Virgin Islands ,
NSF| RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits ,
NSF| RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits ,
NSF| RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits ,
NSF| A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities ,
NSF| RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits ,
NSF| RII Track-1: Ridge to Reef Processes and Interdependent Drivers of Small Island Resilience ,
NSF| RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits
Kelsey Beavers;
Master Coral database used in USVI SCTLD Transmission Experiment Gene Expression Analysis
The Master Coral Database fasta file is comprised of previously published genome-derived predicted gene models and transcriptomes spanning a wide diversity of coral families. Transcriptomes are from Davies et al., 2016 (doi: 10.3389/fmars.2016.00112), Kirk et al., 2018 (DOI: 10.1111/mec.14934); Moya et al., 2012 (doi: 10.1111/j.1365-294X.2012.05554.x); van de Water et al., 2018 (DOI: 10.1111/mec.14489).
Also funded by a NOAA OAR Cooperative Institutes award (#NA19OAR4320074).
- Woods Hole Oceanographic Institution United States
- University of the Virgin Islands United States
- Louisiana State University System United States
- Central Caribbean Marine Institute United States
- Mote Marine Laboratory United States
Coral, SCTLD, Transcriptome
Coral, SCTLD, Transcriptome
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 41 downloads 11 - 41views11downloads
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
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NSF| EAGER: Collaborative Research: Quantifying coral microbiome dynamics under change, NSF| RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits, NSF| VI-EPSCoR: RII: Building Research Strength in the US Virgin Islands, NSF| RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits