`breakaway` is the premier package for statistical analysis of microbial diversity. `breakaway` implements the latest and greatest estimates of richness, as well as the most commonly used estimates. The `breakaway` philosophy is to estimate diversity, to put error bars on diversity estimates, and to perform hypothesis tests for diversity that use those error bars.
Assembles taxonomic weights to increase classification accuracy with q2-feature-classifier. Can download data from Qiita or use your data.
QIIME 2 plugin for distribution-based clustering, which calls OTUs based on the similarity between their genetic sequences and their count distribution across samples.
The move from OTU-based to sOTU-based analysis, while providing additional resolution, also introduces computational challenges. We demonstrate that one popular method of dealing with sOTUs (building a de novo tree from the short sequences) can provide incorrect results in human gut metagenomic studies and show that phylogenetic placement of the new sequences with SEPP resolves this problem while also yielding other benefits over existing methods.
This plugin is wrapping `ili, for more information, see: https://github.com/MolecularCartography/ili.
ITSxpress trims the conserved flanking regions of of ITS sequences. ITSxpress is designed to support the calling of exact sequence variants rather than OTUs. This newer method of sequence error-correction requires quality score data from each sequence, so each input sequence must be trimmed. ITSxpress makes this possible by taking FASTQ data, de-replicating the sequences then identifying the start and stop sites using HMMSearch. Results are parsed and the trimmed files are returned.
q2-metabolomics is a tool to import metabolomics data into qiime2 to perform analysis.
MetaPhlAn is a computational tool for profiling the composition of microbial communities (Bacteria, Archaea, Eukaryotes, and Viruses) from metagenomic shotgun sequencing data with species-level resolution.
Plugin to run the PICRUSt2 pipeline to get EC, KO, and MetaCyc pathway predictions based on 16S data. Either the default PICRUSt2 sequence placement approach or SEPP can be used to place sequences into the required reference phylogeny.
SCNIC (Sparse Cooccurence Network Investigation for Compositional data) is a tool for building correlation networks from feature tables, finding modules in said networks and summarizing those modules. Access to all these functionalities is available to qiime2 users via the q2-SCNIC plugin.