Bio-Docklets
Bio-Docklets provide Docker-based virtualization containers that enable single-step execution of next-generation sequencing (NGS) pipelines for processing NGS data, including RNA sequencing and chromatin immunoprecipitation sequencing.
Key Features:
- Virtualization Containers: Bio-Docklets package preconfigured bioinformatics pipelines within Docker containers to ensure portability and reproducible execution across diverse computing environments.
- Single-Step Execution: Each Bio-Docklet exposes a single data input and output endpoint, enabling multistep NGS pipelines to be executed as a single run.
- Pipeline Abstraction: Intricate multistep data operations are encapsulated within the container runtime, abstracting pipeline components and dependencies.
- Meta-Script Automation: A meta-script initiates Bio-Docklets and manages pipeline execution using the BioBlend software library and the Galaxy Application Programming Interface (API).
- Interactive Data Visualization: Pipeline postprocessing integrates with the Visual Omics Explorer framework to produce interactive data visualizations.
Scientific Applications:
- RNA sequencing (RNA-seq): Execution and postprocessing of RNA-seq analysis pipelines packaged within containers.
- Chromatin immunoprecipitation sequencing (ChIP-seq): Execution and postprocessing of ChIP-seq analysis pipelines packaged within containers.
Methodology:
Preconfigured bioinformatics pipelines are deployed inside Docker containers (Bio-Docklets); a meta-script automates execution via the BioBlend library and the Galaxy API, with postprocessing integrated into Visual Omics Explorer, and the setup supports programmatic management of multiple concurrent instances.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Shell, Python
- Added:
- 7/15/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Kim B, Ali T, Lijeron C, Afgan E, Krampis K. Bio-Docklets: virtualization containers for single-step execution of NGS pipelines. GigaScience. 2017;6(8). doi:10.1093/gigascience/gix048. PMID:28854616. PMCID:PMC5569920.