A Robust Parallel Computing Data Extraction Framework for Nanopore Experiments.

ABSTRACT: The success of a nanopore experiment relies not only on the quality of the experimental design but also on the performance of the analysis program utilized to decipher the ionic perturbations necessary for understanding the fundamental molecular intricacies. An event extraction framework is developed that leverages parallel computing, efficient memory management, and vectorization, yielding significant performance enhancement. The newly developed abf-ultra-simple function extracts key parameters from the header critical for the operation of open-seek-read-close data loading architecture running on multiple cores. This underpins the swift analysis of large files where an ≈ × 18 improvement is found for a 100 min-long file (≈4.5 GB) compared to the more traditional single (cell) array data l

SUBMITTER: Bandara YMNDY 

PROVIDER: S-EPMC11671846 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature