Distributed Parallel Computing
Due to the enormous amounts of computation required to conduct our research into bioinformatics, Haystack Biotechnology supports the development of Polus, an open-source distributed parallel-computing architecture. Polus is designed to automatically distribute and compute computationally-intensive research queries.
Polus is implemented in Python, which boasts a large catalog of bioinformatics tools, such as the Biopython library. Polus is scalable and supports both geographically-separated computing resources and high-performance clusters.
Please visit Polus's website (currently under development) to learn more.