Wes Lloyd

The paper presents a serverless cloud computing approach for scRNA-seq data processing, demonstrating significant speedup for large datasets.

The paper converts GDC SOPs into reproducible, containerized workflows to harmonize datasets across repositories and improve data interpretation.

The paper introduces a serverless computing method that drastically reduces RNA-seq alignment time and provides an interactive interface for real-time parameter adjustment.

The paper introduces Bwb, a tool for creating and executing reproducible bioinformatics workflows via a drag-and-drop interface using Docker containers.

The paper optimizes an RNA-seq workflow for multi-threaded environments, achieving significant speed improvements by optimizing all steps, not just alignment.

The paper introduces a method to reduce cloud computing costs for bioinformatics by hot-starting software containers, avoiding repetitive initialization steps.