Application Development

PyPy Python

Python is a high level programming language that aims to combine remarkable power with very clear syntax. PyPy is an alternative implementation of the Python language that uses a Just-in-Time (JIT) compiler to run certain types of code much faster than the standard implementation.

RStudio

RStudio provides open source and enterprise-ready professional software for the R statistical computing environment. RStudio is an IDE for the R programming language.

CUDA

CUDA, (the Compute Unified Device Architecture), is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives program developers direct access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.

Anaconda

Python is a high level programming language that aims to combine remarkable power with very clear syntax. Anaconda is a free cross-platform Python distribution from Continuum Analytics. It comes built in with various scientific Python packages such as NumPy, SciPy, Pandas, Matplotlib, Numba, etc.

Enthought Canopy Python Distribution

Python is a high level programming language that aims to combine remarkable power with very clear syntax. The Enthought Python Distribution is a cross-platform environment for scientific computing in Python, and includes the Canopy IDE and package manager. MSI has installed an academic-licensed version that includes hundreds of modules, including tools that enable efficient parallel computations.

BioPerl

BioPerl is a toolkit of Perl modules useful for building bioinformatics programs in perl. The collection of modules in bioperl makes it easy to develop bioinformatics applications for sequences analysis, as well as for creating graphical interfaces (bioperl-gui), persistent storage in RDMBS (bioperl-db), and running and parsing the results from hundreds of bioinformatics applications (bioperl-run).