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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.

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BioSkel - Towards a Framework for OMICS Applications

  • 会议论文

  • 发表日期：

    2025年

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  • Valentin Beauvais,
  • Clémence Couton,
  • Nicoló Tonci,
  • Sébastien Limet,
  • Lucile Mollet,
  • Thierry Prazuck,
  • Sophie Robert

摘要

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.