High Performance Workstation 1 (PC)

Python is an open-source, object-oriented programming language, particularly well-suited for scientific computing because of its extensive ecosystem of scientific libraries and environments. For more information, see the Python FAQ page and the Python Numeric and Scientific Wiki.

Cytoscape is a free, open source visualization tool for modeling complex networks and integrating network points with attribute data.  Cytoscape can create visualizations of a variety of different types of networks, including molecular and genetic, social networks, and semantic Web.  Adding free plugins to Cytoscape also provides functionality including literature mining, network inference, topological clustering, and network comparison. 

GitHub is a platform for storing and collaborating on code. GitHub Desktop is an application that enables you to interact with GitHub using a GUI instead of the command line or a web browser. Learn more at GitHub Docs.

GraphPad Prism is an analysis and graphing software for scientific research. To learn more, visit the  GraphPad Knowledgebase.

R and R Studio are useful for a wide variety of data manipulation, analysis, and visualization tasks.

IBM SPSS Statistics enables you to quickly dig deeper into your data, making it a much more effective tool than spreadsheets, databases or standard multi-dimensional tools for analysts. SPSS Statistics includes a variety of functionalities such as descriptive statistics, data preparation, graphing, bivariate statistics procedures, factor and cluster analysis and linear and ordinal regression.

Stata is an integrated statistical software package for data management, analysis, and visualization. 

Tableau is a business analytics tool for creating a wide variety of interactive data visualizations.

VOSviewer is a free software tool for constructing and visualizing bibliometric networks.