scikit-bio

To calculate alpha and beta diversity for microbiome data, you can use this Skill to process count matrices and compute ecological metrics directly without writing extensive custom code. It supports various diversity calculations for biological data analysis.

Performing PERMANOVA statistical tests on ecological sample groups is supported by this Skill, allowing you to test for significant differences between sample groups after computing beta diversity metrics for your biological data.

Reading and writing biological file formats like FASTA, FASTQ, Newick, and BIOM is handled by the Skill's File I/O capabilities, enabling seamless parsing and serialization of microbiome and ecological data for downstream analysis.

You can construct and analyze phylogenetic trees from sequence alignments in Python using this Skill, which provides built-in functions for tree construction, manipulation, and visualization alongside sequence alignment operations.

Ordination techniques like PCoA for dimensionality reduction are fully supported by this toolkit, enabling you to reduce biological data complexity and perform statistical tests on ordinated microbiome samples.

To calculate Shannon diversity from a count matrix, you can apply this Skill's diversity metrics functions directly to your input data, yielding ecological diversity scores for microbiome analysis without manual formula implementation.