Computation has become an essential tool in biomedical research. This is perhaps best exemplified in genomics, where experiments that use massively parallel “next-generation sequencing” (NGS) technologies require complex data analysis tools and routinely produce datasets that are hundreds of GBs in size. However, the sudden reliance on computation has created an informatics crisis for biomedical researchers: computational resources are often difficult to use, communicating techniques and experiments is