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 ...

In this case Python code takes care of dividing the work to 3 processes running at the same time, one for each input file. Python has several packages for code parallelization, here examples for dask ...

Parallelization in Python integrates Message Passing Interface via the mpi4py module. Since mpi4py does not support parallelization of objects greater than 2 31 bytes, we developed BigMPI4py, a 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 ...

Python is convenient because it is easy to program and has a rich library, but its only weak point is that execution is very slow outside of compiled libraries like Numpy. So, I will measure the ...

This article explains practical program code implemented in Python for the "MPS (Moving Particle Semi-implicit) method," which is a simulation technique for incompressible fluids. While the standard ...