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.
High Performance Workstation 2 (PC)
This workstation contains bioinformatics software.
Cytoscape (Open Source, Freely Available)
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 Desktop
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
GraphPad Prism is an analysis and graphing software for scientific research. To learn more, visit the GraphPad Knowledgebase.
MATLAB
MATLAB is a programming and numeric computing platform used to analyze data, develop algorithms, and create models. In addition to MATLAB, we also license the Deep Learning (NNSMS)
and Statistics and Machine Learning (STSMS) toolboxes.
R and RStudio (Open Source, Freely Available)
R and R Studio are useful for a wide variety of data manipulation, analysis, and visualization tasks.
Stata
Stata is an integrated statistical software package for data management, analysis, and visualization.
VosViewer (Freely Available)
VOSviewer is a free software tool for constructing and visualizing bibliometric networks.