3 papers
cs.AI2026
From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation
Bartosz Balis, Michal Orzechowski, Piotr Kica +2
Scientific workflow systems automate execution -- scheduling, fault tolerance, resource management -- but not the semantic translation that precedes it. Scientists still manually c…
cs.DC2025
Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
Piotr Kica, Sabina LichoÅai, MichaÅ Orzechowski +1
In this work, we explore the Transcriptomics Atlas pipeline adapted for cost-efficient and high-throughput computing in the cloud. We propose a scalable, cloud-native architecture…
cs.DC2025
Serverless Approach to Running Resource-Intensive STAR Aligner
Piotr Kica, MichaÅ Orzechowski, Maciej Malawski
The application of serverless computing for alignment of RNA-sequences can improve many existing bioinformatics workflows by reducing operational costs and execution times. This wo…