1. R: R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS (Tutorial).

2. MATLAB: MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming (Tutorial).

3. Gnuplot: Gnuplot is a portable command-line driven graphing utility for Linux, OS/2, MS Windows, OSX, VMS, and many other platforms (Tutorial).

4. GeneSpring: Agilent's GeneSpring GX software provides powerful, accessible statistical tools for fast visualization and analysis of transcriptomics, genomics, proteomics and metabolomics data (Commercial software).

5. Pomelo II: Pomelo II is an open-source, web-based, freely available tool for the analysis of gene (and protein) expression and tissue array data (Edward, et al.,2009).

6. JavaTreeView:Java Treeview is an open-source, cross-platform rewrite that handles very large datasets well, and supports extensions to the file format that allow the results of additional analysis to be visualized and compared (Alok, et al.,2004).

7. Partek OSAR Solution: a comprehensive suite of advanced statistics, data mining, and interactive visualization tools tailored to identify significant correlations between chemical structures and biological activities. (Commercial software).

8. Gprox: The Graphical Proteomics Data Explorer (GProX) is a freely available complete software platform for comprehensive and integrated analysis and visualization of large proteomics datasets.

9. Mayday package: Mayday is a workbench for visualization, analysis and storage of microarray data.

10. jHeatmap: jHeatmap: an interactive heatmap viewer for the web (Deu-Pons J, et al.,2014).