MeV

MeV is a software tool developed by www.tm4.org which is designed for analyzing data generated from experiments in molecular biology. The software provides a suite of user-friendly tools for visualizing, processing, and analyzing microarray data.

MeV's functionality includes normalization of data, clustering analysis, and multi-dimensional visualization. It also offers statistical tools for identifying differential gene expression, as well as the ability to integrate external data such as gene annotations.

• Normalization: MeV employs various methods for normalization of data generated by different microarray platforms to ensure uniformity in measurements.
• Clustering analysis: MeV uses various algorithms such as K-means and Hierarchical clustering to group together genes with similar expression patterns.
• Multi-dimensional visualization: MeV allows users to view their data in different ways using various visualization techniques such as hierarchical trees, 2D scatter plots, parallel coordinates and heat maps.

The software is widely used by researchers in the field of genomics due to its robust set of statistical tools that enable accurate identification of differentially expressed genes. MeV is a free and open-source software that can be downloaded from the TM4 website.