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

Statistical calculation

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.

Documentation

Links