cmoat 0.1.4

A toolkit for analysising cancer genomics & proteomics.

CMoAT (Cancer Multi-Omics Analysis Toolkit)

CMoAT (Cancer Multi-Omics Analysis Toolkit) is a Python-based toolkit designed for analyzing cancer genomics and proteomics data. The manual provides information on how to use and install the toolkit, as well as its features and functions.

1. Usage:

• CLI (Command Line Interface): After installation, CMoAT can be used via command line in the terminal.
• GUI (Graphical User Interface): Not implemented yet.

2. Installation:

• CMoAT can be installed using pip with the command: pip install cmoat

3. Features:

• Protein Correlation Scatter Plot: Creates scatter plots of two genes' expression with a fitted straight line, including correlation coefficient and p-value.
• Dual Survival Analysis: Generates survival curves for high (0.75/0.75) and low (0.25/0.25) expression of both genes simultaneously.
• Expression Boxplot (one gene): Produces a box plot comparing tumor and normal tissue protein expression for a single gene.
• Single Gene Survival Analysis: Creates monogenic survival curves.
• Normal Tissue Expression: Generates a bar chart showing the expression of one gene across multiple human normal tissues.