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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…
cs.DC2024
Optimizing STAR Aligner for High Throughput Computing in the Cloud
Piotr Kica, Sabina LichoÅai, MichaÅ Orzechowski +1
We propose a scalable, cloud-native architecture designed for Transcriptomics Atlas Pipeline, using a resource-intensive STAR aligner and processing tens or hundreds of terabytes o…