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MetaboCrates - R Package for Biocrates® Metabolomics Data

MetaboCrates is designed for early analysis of data obtained from Biocrates® kits. It simplifies and streamlines the data processing workflow, allowing you to efficiently analyze metabolite data. Here's a brief overview of its key features:

Features

1. Data Import: Easily import metabolomics data generated from Biocrates® platforms.

2. Preprocessing: Perform data preprocessing tasks such as metabolites selection and <LOD imputation.

  • Automatically identify and remove metabolites with a high Limit of Detection (LOD) proportion.
  • Enhance the accuracy of your data by eliminating unreliable measurements.
  • Complete missing data points for metabolites based on LOD values.
  • Ensure that your dataset is comprehensive and suitable for analysis.

3. Quality Control: Quality control checks on your data.

4. Analysis: Calculate descriptive statistics.

5. Save your work: Save your progress, allowing you to resume your analysis at a later time.

  • Track and manage multiple projects effortlessly.
  • Easily share your findings with colleagues or collaborators.

Installation

Execute following commands in the R console:

devtools::install_github("BioGenies/MetaboCrates")

Run MetaboCrates

If you have successfully installed the package, run the GUI in your web browser using:

MetaboCrates::
  • report
  • fix PCA plot
  • fix biplot
  • logspline imputation
  • all metabolites allowed on correlation heatmap
  • correlation heatmap check on big screen + helper
  • NA ratios plot reactive height
  • !multiple grouping column!
  • !group plot change!
  • !group counts table!
  • group levels to character
  • extra space on the bottom
  • colors to missing heatmap
  • extra space under missing heatmap
  • venn description
  • download buttons !!!
  • histogram change
  • PCA plots and correlations heatmap to new panel
  • correlations heatmap before and after imputation
  • thresholds steps to 5%
  • all summary info in excel
  • info panel to markdown
  • information to impute data to see plots
  • ?adjustable correlations plot size?
  • disable picking columns in tables
  • new imputation panel layout
  • scaled random imputation
  • colored column height
  • ?fix report?
  • ?correct logspline imputation?
  • ?legends to the top?
  • downloading check !!!
  • color of spinners in DT
  • spinners color
  • ?DT spinners color?
  • buttons color
  • spinners placement
  • spinners delay
  • plots descriptions
  • handling data without missing values
  • missing heatmap colors
  • PCA plots for all sample types
  • change descriptions appearance
  • automatic imputation methods
  • group PCA to another panel
  • different color with different histogram type
  • shorter message window when downloading
  • fix removing metabolites
  • tests
  • unified tab layouts

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