Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

21.1K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
21.1K
Eulerian and Lagrangian Flow Descriptions01:22

Eulerian and Lagrangian Flow Descriptions

2.0K
Fluid flow analysis is critical in many scientific and engineering disciplines, and two principal approaches are used to describe this flow: the Eulerian and Lagrangian methods. These methods offer different perspectives on monitoring and analyzing the motion of fluids, each with distinct advantages depending on the scenario.
The Eulerian method focuses on fixed points in space where fluid properties, such as velocity, pressure, and temperature, are observed as the fluid moves between these...
2.0K
Pleural Disorders: Types and Brief Description01:30

Pleural Disorders: Types and Brief Description

728
The pleura is a vital part of the respiratory system. It's a double-layered membrane surrounding the lungs and lining the chest cavity. The two layers of the pleura are:
728
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

1.7K
Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
1.7K
DC Generator01:19

DC Generator

2.1K
An alternator converts mechanical energy into electrical energy that varies sinusoidally, resulting in AC current. Meanwhile, a DC generator converts mechanical energy into electrical energy, which are DC pulses with the same polarity. The construction of a DC generator is similar to that of an alternator, except that the pair of slip rings is replaced by a single split ring, also called a commutator. The commutator functions like a periodic rotary switch; it changes the contacts with the...
2.1K
Next-generation Sequencing03:00

Next-generation Sequencing

98.9K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
98.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

bio.tools: an expanded web service for research software in the life sciences.

Nucleic acids research·2026
Same author

Exploratory analysis of epilepsy biomarkers using untargeted metabolomics across multiple cohorts.

Frontiers in neurology·2025
Same author

WorkflowHub: a registry for computational workflows.

Scientific data·2025
Same author

Applying the FAIR Principles to computational workflows.

Scientific data·2025
Same author

Dynamics of SARS-CoV-2 lineages in children and adults in 2021 and 2022.

PloS one·2024
Same author

The interplay of DNA repair context with target sequence predictably biases Cas9-generated mutations.

Nature communications·2024
Same journal

Cyber Military Operations under International Humanitarian Law: Interpreting the Concept of "Attack" and Challenges in Protecting Civilians.

F1000Research·2026
Same journal

Sentiment Analysis of Acceptance TVET Online Courses on the Skill Academy App from Google Play: Leveraging Text Mining with Comparison Machine Learning Model.

F1000Research·2026
Same journal

Emotional intelligence: An important skill to learn now more than ever.

F1000Research·2026
Same journal

East Mediterranean Lineage of <i>Brucella melitensis</i> in Human Isolates and Milk Samples in Oman Using MLVA-14.

F1000Research·2026
Same journal

Application of K-Means Clustering for Job Applicant Analysis in Construction Firms Using R.

F1000Research·2026
Same journal

The influence of self-esteem and emotional intelligence on addiction to social networks in Peruvian university students.

F1000Research·2026
See all related articles

Related Experiment Video

Updated: Feb 15, 2026

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.2K

Using bio.tools to generate and annotate workbench tool descriptions.

Kenzo-Hugo Hillion1, Ivan Kuzmin2, Anton Khodak3

  • 1Bioinformatics and Biostatistics HUB, Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI, USR 3756 Institut Pasteur et CNRS), Paris, France.

F1000Research
|January 16, 2018
PubMed
Summary
This summary is machine-generated.

ToolDog simplifies bioinformatics tool integration into workflows by automatically generating and enriching tool descriptions. This enhances usability and reproducibility in bioinformatics research.

Keywords:
bioinformaticscommon workflow languagegalaxyinteroperabilityregistrytool integration

More Related Videos

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.5K
A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

18.6K

Related Experiment Videos

Last Updated: Feb 15, 2026

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.2K
Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.5K
A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

18.6K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Software Engineering

Background:

  • Workflow systems like Galaxy and CWL streamline bioinformatics tool access.
  • Integrating tools into these systems is complex, time-consuming, and error-prone.
  • Incomplete or outdated tool descriptions hinder usability and reproducibility.

Purpose of the Study:

  • To develop ToolDog, a system for automating bioinformatics tool description generation.
  • To facilitate the integration of tools into workbench environments.
  • To improve the completeness and accuracy of tool metadata.

Main Methods:

  • ToolDog analyzes bioinformatics software source code using language-specific plugins.
  • It generates skeleton tool descriptions for Galaxy XML or Common Workflow Language (CWL).
  • A second module enriches descriptions using metadata from the ELIXIR bio.tools registry.

Main Results:

  • ToolDog successfully generates initial tool description templates.
  • The system enriches these templates with crucial metadata from bio.tools.
  • ToolDog can also be used independently to update existing tool descriptions.

Conclusions:

  • ToolDog significantly reduces the effort required for tool integration into bioinformatics workflows.
  • Automated description generation and enrichment improve tool accessibility and reproducibility.
  • This facilitates better data management and research in computational biology.