Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Genome Annotation and Assembly

Genome Annotation and Assembly

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.

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Applications Of NMR In Biology

Applications Of NMR In Biology

Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
The...

Bioremediation

Bioremediation

Bioremediation is the use of prokaryotes, fungi, or plants to remove pollutants from the environment. This process has been used to remove harmful toxins in groundwater as a byproduct of agricultural run-off and also to clean up oil spills.

You might also read

Related Articles

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

Sort by

Same author

Enhancing sepsis management through machine learning techniques: A review.

Medicina intensiva·2022

Same author

Chiral nanotubes self-assembled from discrete non-covalent macrocycles.

Chemical communications (Cambridge, England)·2021

Same author

Phylogenomics of Piranhas and Pacus (Serrasalmidae) Uncovers How Dietary Convergence and Parallelism Obfuscate Traditional Morphological Taxonomy.

Systematic biology·2020

Same author

Enhancing sepsis management through machine learning techniques: A review.

Medicina intensiva·2020

Same author

Guidelines for the assembly of hydrogen-bonded macrocycles.

Chemical communications (Cambridge, England)·2019

Same author

Dithiothreitol-based protein equalization technology to unravel biomarkers for bladder cancer.

Talanta·2018

Search research articles

Related Experiment Video

Updated: May 12, 2026

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

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

Published on: February 8, 2017

BioAnnote: a software platform for annotating biomedical documents with application in medical learning environments.

H López-Fernández¹, M Reboiro-Jato, D Glez-Peña

¹Informatics Department, Universidad de Vigo, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain. hlfernandez@uvigo.es

Computer Methods and Programs in Biomedicine

|April 9, 2013

Summary

BioAnnote is an open-source platform for automatic biomedical term annotation. It offers a user-friendly client, an extensible meta-server, and batch annotation capabilities for computer-aided medical learning.

More Related Videos

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Related Experiment Videos

Last Updated: May 12, 2026

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

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

Published on: February 8, 2017

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

Biomedical Informatics
Computational Biology
Medical Education Technology

Background:

Automatic term annotation and information linking are crucial for modern computer-aided medical learning.
Existing systems may lack flexibility or integration capabilities for comprehensive biomedical resource annotation.

Purpose of the Study:

To present BioAnnote, a novel open-source platform designed for automated biomedical resource annotation.
To provide a flexible and extensible solution for integrating diverse biomedical vocabularies and facilitating third-party application use.

Main Methods:

Development of a rich client interface for user-friendly, multi-document annotation.
Implementation of an extensible and embeddable annotation meta-server supporting local and remote vocabularies.
Design of a simple client/server protocol for seamless integration with external applications.
Integration of a scripting engine for advanced batch annotation functionalities.

Main Results:

BioAnnote provides a comprehensive solution for automatic annotation of biomedical documents.
The platform supports user-friendly annotation through a rich client and advanced batch processing via a scripting engine.
Its meta-server and protocol facilitate easy integration with existing and third-party systems, enhancing data linking.

Conclusions:

BioAnnote offers a flexible, extensible, and open-source platform for advancing computer-aided medical learning through automated biomedical annotation.
The system's architecture supports diverse annotation needs and promotes interoperability within the biomedical informatics landscape.