We use Jwalk often to study protein crosslinks but have found it cumbersome to switch python versions halfway through our process because of Jwalk. Jwalk is currently using python 2 which has lost LTS ...

Parallelization is a powerful technique to speed up computations by distributing tasks across multiple CPU cores or threads. This project evaluates the performance of four popular Python ...

Abstract: Processing of large quantitities of data from bioinformatics domain pose significant challenge for contemporary computing systems. For that reason, it is important to employ all hardware ...

If a for loop in your python code is taking longer to complete, try parallelization. With parallelization, you can divide the iterations, when each iteration can run independently, among multiple CPU ...

Abstract: Pydron, a system that bridges the gap between interactive data analysis and scalable computing, enables astronomers to process large datasets with Python without the complexities of managing ...