A Python library for cleaning microbiome and metadata files using the ezclean function.
Project description
mbX
mbX is a Python library designed to simplify the cleaning and processing of microbiome and metadata files. It provides a comprehensive suite of functions to handle various data manipulations, ensuring your data is ready for downstream analysis and visualization.
Key Features
-
File Validation:
Supports common file formats including CSV, XLS, XLSX, and TXT. -
Data Cleaning & Transformation:
- Cleans and transposes data
- Converts data to numerical values
- Aggregates data and calculates column-wise percentage values
-
Metadata Integration:
Merges metadata with the cleaned microbiome data seamlessly. -
Output Generation:
Produces a final Excel file tailored to the specified taxonomy level.
Library Functions
mbX includes the following functions:
-
ezclean:
Handles the processing of qiime2 output files. This function is fully implemented in the current version and provides robust data cleaning and merging capabilities. -
ezviz:
Aims to generate publication-ready visualizations. (Note: This function will be updated in an upcoming version.) -
ezstat:
Designed to perform statistical analysis on 16s rRNA outputs. (Note: This function will be updated in an upcoming version.)
Installation
You can install mbX using pip:
pip install pymbX
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