Zaid Al-Ars

GenMPI provides a scalable variant calling workflow for short and long-read sequencing data using MPI, achieving linear scaling and improved performance over existing methods.

The paper introduces a scalable genomics data processing solution using Apache Arrow and Arrow Flight on an HPC system, outperforming Spark and matching MPI-based solutions in speed and efficiency.

BioDynaMo is a scalable agent-based simulation platform that outperforms existing tools by three orders of magnitude, enabling large-scale simulations in neuroscience, oncology, and epidemiology.

ArrowSAM improves genomics data processing speed by using Apache Arrow for in-memory SAM format, achieving 15x and 2.4x speedups over Picard and Sambamba.

CHOP uses haplotype information to efficiently align reads to graph-based reference genomes, improving variation detection in complex datasets.