indices_diversity
indices_diversity computes Chao, Simpson, and Shannon diversity indices from Sabund and Rabund formatted abundance tables to assess species richness and evenness in biological communities.
Key Features:
- Chao Index: Estimates total species richness from abundance data by accounting for rare species.
- Simpson Index: Quantifies the probability that two randomly selected individuals belong to the same species, reflecting dominance and diversity.
- Shannon Index: Measures the uncertainty in predicting the species identity of a randomly chosen individual, reflecting richness and evenness.
- Input formats: Accepts abundance tables in Sabund and Rabund formats.
- Next-generation DNA sequencing data: Supports analysis of large abundance datasets generated by next-generation DNA sequencing technologies.
Scientific Applications:
- Microbial community composition: Characterizes microbial community structure using diversity indices derived from sequencing abundance tables.
- Microbiome analysis: Enables diversity comparisons and summary statistics in microbiome studies based on sequencing data.
- Ecosystem health assessment: Quantifies species richness and evenness to inform assessments of ecosystem health.
- Biodiversity pattern analysis: Evaluates biodiversity patterns across environments or experimental conditions.
- Ecological genomics: Supports studies linking genetic or sequencing-derived data to ecological diversity metrics.
Methodology:
Computes Chao, Simpson, and Shannon indices directly from Sabund and Rabund abundance tables and integrates with the Galaxy project to record computational steps and provenance automatically.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 12/19/2016
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Publications
Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.
Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.