Related Experiment Video
Updated: Jul 7, 2026
10:41
Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms
Published on: May 9, 2017
High-throughput bioinformatics with the Cyrille2 pipeline system
Mark W E J Fiers1, Ate van der Burgt, Erwin Datema
1Applied Bioinformatics, Plant Research International, PO Box 16, 6700AA Wageningen, The Netherlands. Mark.Fiers@wur.nl
BMC Bioinformatics
|February 14, 2008
Summary
A new bioinformatics pipeline system, Cyrille2, simplifies high-throughput omics data analysis. This modular system manages complex data workflows, making large-scale omics research more feasible and efficient.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- High-throughput omics research generates massive datasets requiring sophisticated computational analysis.
- Complex bioinformatics workflows are essential for pre-processing, analyzing, and integrating omics data.
- Specialized pipeline software is crucial for managing large-scale omics datasets and computational resources.
Purpose of the Study:
- To develop a generic, modular pipeline system for high-throughput omics data analysis.
- To address the need for efficient management and execution of complex bioinformatics workflows.
Main Methods:
- Development of Cyrille2, a modular pipeline system.
- Implementation of a web-based graphical user interface (GUI) for system management.
- Integration of a Scheduler to track data and schedule jobs.
- Inclusion of an Executor to run jobs on a compute cluster.
Main Results:
- Cyrille2 provides a modular and extensible system for bioinformatics pipelines.
- The system features a GUI for pipeline management.
- The Scheduler and Executor components facilitate automated job execution on compute clusters.
Conclusions:
- Cyrille2 enables the creation and execution of high-throughput, flexible bioinformatics pipelines.
- The system meets the requirements for managing large-scale omics data analysis.
- Cyrille2 enhances the efficiency and accessibility of omics data processing.
