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ggpicrust2 vignettes

ggpicrust2 is a comprehensive package designed to provide a seamless and intuitive solution for analyzing and interpreting the results of PICRUSt2 functional prediction. It offers a wide range of features, including pathway name/description annotations, advanced differential abundance (DA) methods, and visualization of DA results.

One of the newest additions to ggpicrust2 is the capability to compare the consistency and inconsistency across different DA methods applied to the same dataset. This feature allows users to assess the agreement and discrepancy between various methods when it comes to predicting and sequencing the metagenome of a particular sample. It provides valuable insights into the consistency of results obtained from different approaches and helps users evaluate the robustness of their findings.

By leveraging this functionality, researchers, data scientists, and bioinformaticians can gain a deeper understanding of the underlying biological processes and mechanisms present in their PICRUSt2 output data. This comparison of different methods enables them to make informed decisions and draw reliable conclusions based on the consistency evaluation of macrogenomic predictions or sequencing results for the same sample.

If you are interested in exploring and analyzing your PICRUSt2 output data, ggpicrust2 is a powerful tool that provides a comprehensive set of features, including the ability to assess the consistency and evaluate the performance of different methods applied to the same dataset.

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Install

install.packages('ggpicrust2')

Monthly Downloads

1,031

Version

1.7.3

License

MIT + file LICENSE

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Maintainer

Chen Yang

Last Published

April 13th, 2025

Functions in ggpicrust2 (1.7.3)

pathway_daa

Predictional functional patwhay differential abundance (DA)
pathway_errorbar

The function pathway_errorbar() is used to visualize the results of functional pathway differential abundance analysis as error bar plots.
pathway_annotation

Pathway information annotation of "EC", "KO", "MetaCyc" pathway
metadata

Metadata for ggpicrust2 Demonstration
ko2kegg_abundance

Convert KO abundance in picrust2 export files to KEGG pathway abundance
kegg_abundance

KEGG Abundance Dataset
import_MicrobiomeAnalyst_daa_results

Import Differential Abundance Analysis (DAA) results from MicrobiomeAnalyst
compare_daa_results

Compare the Consistency of Statistically Significant Features
ggpicrust2

This function integrates pathway name/description annotations, ten of the most advanced differential abundance (DA) methods, and visualization of DA results.
compare_metagenome_results

Compare Metagenome Results
daa_results_df

DAA Results Dataset
ko_abundance

KO Abundance Dataset
daa_annotated_results_df

Differentially Abundant Analysis Results with Annotation
pathway_heatmap

Create pathway heatmap
metacyc_abundance

MetaCyc Abundance Dataset
pathway_pca

Perform Principal Component Analysis (PCA) on functional pathway abundance data and create visualizations of the PCA results.