Jflow
Jflow orchestrates bioinformatics workflows for the setup, execution, and monitoring of computational analyses on large biological datasets.
Key Features:
- JavaScript (jQuery) components: jQuery plugins for embedding workflow components within web applications.
- Python library integration: A Python library providing functions to set up, execute, and monitor bioinformatics workflows.
- HPC integration: Abstraction of high-performance computing (HPC) environment complexities to enable management of large-scale biological data analyses.
Scientific Applications:
- Genomic and proteomic data processing: Supports construction and execution of custom pipelines to process genomic sequences and proteomic profiles.
- Large-scale bioinformatics analyses: Enables execution and management of computational analyses on extensive biological datasets common in bioinformatics research.
Methodology:
jQuery plugins are embedded within web applications while a Python library performs backend setup, execution, and monitoring of workflows.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- JavaScript, Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Mariette J, Escudié F, Bardou P, Nabihoudine I, Noirot C, Trotard M, Gaspin C, Klopp C. Jflow: a workflow management system for web applications. Bioinformatics. 2015;32(3):456-458. doi:10.1093/bioinformatics/btv589. PMID:26454273. PMCID:PMC5859998.