1 citations · 1 across the 4 of their papers we have counts for
4 papers
Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
Piotr Kica, Sabina Lichołai, Michał 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…
Serverless Approach to Running Resource-Intensive STAR Aligner
Piotr Kica, Michał 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…
Towards cloud-native scientific workflow management
Michal Orzechowski, Bartosz Balis, Krzysztof Janecki
Cloud-native is an approach to building and running scalable applications in modern cloud infrastructures, with the Kubernetes container orchestration platform being often consider…
Optimizing STAR Aligner for High Throughput Computing in the Cloud
Piotr Kica, Sabina Lichołai, Michał 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…