Seed

Seed performs R-based analysis and visualization of microbial community ecological datasets to explore community structure, diversity, and patterns.

Key Features:

• R integration: Uses the R programming language and R libraries for statistical analysis and visualization of ecological data.
• Principal Coordinate Analysis (PCoA): Implements PCoA for ordination of ecological distances to examine community structure and diversity.
• Scatter and bar plots: Produces scatter plots for variable relationships and bar plots for categorical comparisons such as species abundance across samples.
• Hierarchical clustering and dendrograms: Performs hierarchical clustering to identify patterns and groupings within microbial communities and represents them as dendrograms.
• Heatmaps: Generates heatmaps to visualize data matrices and highlight variations and similarities within microbial community datasets.

Scientific Applications:

• Microbial community analysis: Exploring structure and diversity of microbial communities using ordination and clustering methods.
• Ecological data visualization: Visualizing multivariate ecological datasets to reveal patterns, gradients, and sample relationships.
• Exploratory data analysis for hypothesis generation: Enabling exploratory analyses to identify trends and relationships that inform hypothesis formulation and testing.

Methodology:

Analyses employ R libraries to perform statistical ordination (PCoA of ecological distances), hierarchical clustering for community structure, and visualization methods including scatter plots, bar plots, dendrograms, and heatmaps.