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

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...

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...

Synthetic Biology

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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...

Modern Molecular Taxonomy

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

You might also read

Related Articles

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

Sort by

Same author

An effective encoding of human medical conditions in disease space provides a versatile framework for deciphering disease associations.

Quantitative biology (Beijing, China)·2026

Same author

Longitudinal analysis of electronic health records reveals medical conditions associated with subsequent Alzheimer's disease development.

Alzheimer's research & therapy·2025

Same author

Public Health.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025

Same author

Longitudinal Analysis of Electronic Health Records Reveals Medical Conditions Associated with Subsequent Alzheimer's Disease Development.

medRxiv : the preprint server for health sciences·2025

Same author

Digital twins as global learning health and disease models for preventive and personalized medicine.

Genome medicine·2025

Same author

Prevalence and incidence measures for schizophrenia among commercial health insurance and medicaid enrollees.

Schizophrenia (Heidelberg, Germany)·2024

Search research articles

Related Experiment Video

Updated: Jul 3, 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

Seeking a new biology through text mining.

Andrey Rzhetsky¹, Michael Seringhaus, Mark Gerstein

¹University of Chicago, Chicago, IL 60637, USA. arzhetsky@uchicago.edu

|July 11, 2008

Summary

This summary is machine-generated.

Biomedical text mining uses computational tools to help researchers manage information overload from the vast number of scientific articles. This approach enhances the ability to parse and understand complex biomedical texts.

More Related Videos

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

Related Experiment Videos

Last Updated: Jul 3, 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

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

Area of Science:

Biomedical Informatics
Computational Biology
Scientific Literature Analysis

Background:

The rapid growth of biomedical literature presents a significant challenge due to information overload.
Tens of thousands of biomedical journals publish a continuous stream of new research articles.

Purpose of the Study:

To highlight the growing need for advanced methods to process and understand the vast biomedical literature.
To introduce text mining as a crucial computational approach for managing scientific information.

Main Methods:

Text mining utilizes computational tools and algorithms.
These tools are designed to assist human researchers in analyzing complex textual data.
The focus is on enhancing the parsing and comprehension of scientific content.

Main Results:

Text mining offers a scalable solution to the information overload problem.
Computational tools improve the efficiency and accuracy of literature review.
Enhanced understanding of complex biomedical texts is achievable.

Conclusions:

Text mining is essential for navigating the modern biomedical research landscape.
Computational approaches are vital for extracting meaningful insights from large volumes of scientific text.
The development and application of text mining tools are critical for scientific progress.