The increasing accessibility of next-generation sequencing (NGS) techniques has significantly expanded transcriptomics research. Consequently this leads to major computational challenges as the amount of generated data grows. BioSkel is a framework designed to facilitate the development of bioinformatics workflows for transcriptomics, offering both flexibility and parallelization for shared-memory and distributed-memory architectures. BioSkel allows bioinformaticians to tailor data processing pipelines by integrating custom code while abstracting parallelization complexities. This paper presents new experimental results demonstrating BioSkel applicability to real-world clinical transcriptomic studies.
BioSkel - Towards a Framework for OMICS Applications
Tonci, Nicolo;
2025-01-01
Abstract
The increasing accessibility of next-generation sequencing (NGS) techniques has significantly expanded transcriptomics research. Consequently this leads to major computational challenges as the amount of generated data grows. BioSkel is a framework designed to facilitate the development of bioinformatics workflows for transcriptomics, offering both flexibility and parallelization for shared-memory and distributed-memory architectures. BioSkel allows bioinformaticians to tailor data processing pipelines by integrating custom code while abstracting parallelization complexities. This paper presents new experimental results demonstrating BioSkel applicability to real-world clinical transcriptomic studies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
