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Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).

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Related Experiment Video

Updated: Feb 1, 2026

A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

Published on: January 21, 2020

DockerBIO: web application for efficient use of bioinformatics Docker images.

ChangHyuk Kwon^1,2, Jason Kim², Jaegyoon Ahn¹

¹Department of Computer Science and Engineering, Incheon National University, Incheon, The Republic of Korea.

|December 6, 2018

Summary

This summary is machine-generated.

DockerBIO offers verified, lightweight Docker images for bioinformatics tools and data, simplifying pipeline creation and sharing for reproducible research. This platform addresses challenges in selecting and managing containerized bioinformatics resources.

Keywords:

Bioinformatics DNA pipeline DNA-Seq Docker Dockerbio Mygenomebox NGS pipeline RNA pipeline RNA-Seq

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Area of Science:

Bioinformatics
Computational Biology
Software Engineering

Background:

Containerization with Docker offers performance benefits for bioinformatics tools.
Challenges exist in standardizing Docker image distribution and selection.
Existing Docker images can be unsuitable for pipelines and difficult for group sharing.

Purpose of the Study:

To address issues with Docker image usability in bioinformatics.
To develop a platform for reliable, verified, and lightweight Docker images.
To facilitate pipeline construction and sharing among user groups.

Main Methods:

Developed DockerBIO, a Java web application.
Provides verified, lightweight Docker images for bioinformatics tools and reference data.
Enables users to build and register pipelines within the platform.

Main Results:

DockerBIO offers a curated repository of Docker images.
Users can easily construct pipelines using registered tools and data.
The platform supports efficient pipeline execution and sharing for user groups.

Conclusions:

DockerBIO simplifies the use of containerized bioinformatics tools.
It enhances reproducibility and collaboration in bioinformatics research.
The platform provides a standardized and efficient environment for bioinformatics pipelines.