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

Proteomics

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...

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...

Applications of Molecular Taxonomy

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...

You might also read

Related Articles

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

Sort by

Same author

A Brain Connectivity Approach to Detect Diffusion-Weighted Imaging Changes in Post-Traumatic Epilepsy.

Bioengineering (Basel, Switzerland)·2026

Same author

Enhancing breath-based diagnostics through eXplainable Artificial Intelligence.

PloS one·2026

Same author

Higher-order synergy-based ranking in transcriptomic communities via latent factors and O-information.

Physics in medicine and biology·2026

Same author

Explainable AI-Based Hyperspectral Classification Reveals Differences in Spectral Response over Phenological Stages.

Biology·2026

Same author

Diamine Grafting of Pyrazole-Based MOF-303 for Diluted-Source CO<sub>2</sub> Capture.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

Exponential random graph-based eXplainable Artificial Intelligence for Alzheimer disease.

Physical review. E·2026

Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026

Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026

Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026

Same journal

SimMapNet: a Bayesian framework for gene regulatory network inference using gene ontology similarities as external hint.

BMC bioinformatics·2026

Same journal

Dual channel drug-drug interactions extraction based on cross attention.

BMC bioinformatics·2026

Same journal

FeSseqdb: a curated sequence-level database and interpretable machine learning framework for identifying iron-sulfur proteins.

BMC bioinformatics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 22, 2026

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

A bioinformatics knowledge discovery in text application for grid computing.

Marcello Castellano¹, Giuseppe Mastronardi, Roberto Bellotti

¹DEE Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, via Orabona, 4, 70125, Bari, Italy. castellano@poliba.it

BMC Bioinformatics

|June 19, 2009

Summary

This summary is machine-generated.

This study developed a middleware solution for Knowledge Discovery in Text (KDT) using grid technologies. The system efficiently processes large biomedical document collections to identify symptoms and pathologies, enhancing research capabilities.

More Related Videos

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

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon

Published on: December 1, 2023

Related Experiment Videos

Last Updated: Jun 22, 2026

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

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon

Published on: December 1, 2023

Area of Science:

Biomedical Informatics
Computational Biology
Grid Computing

Background:

Biomedical research relies on Knowledge Discovery (KDT) to analyze vast datasets.
Grid technologies offer high-performance computing infrastructure for life sciences.
A middleware solution is needed to leverage KDT applications on distributed systems.

Purpose of the Study:

To develop a software middleware for exploiting KDT applications on scalable, distributed computing systems.
To enable intensive use of Information and Communication Technology (ICT) resources in life sciences.

Main Methods:

Developed a grid application for KDT using a middleware-based approach.
Implemented a system for job processing, parallel job distribution, and resource monitoring.
Designed a middleware with a graphical user interface, node search, load balancing, and transfer optimization.

Main Results:

A middleware solution prototype was developed and evaluated for its speed-up factor.
The system was implemented in JAVA using Globus Toolkit 4 on a GNU/Linux grid.
Named entity recognition for symptoms and pathologies was successfully applied to 5,000 PubMed documents.

Conclusions:

A grid application utilizing a middleware solution was successfully developed and tested for KDT.
The system extracts novel information on symptoms and pathologies from unstructured scientific documents.
Knowledge Discovery in Database (KDD) was applied to extracted bio-entities, revealing new knowledge.