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

Organization of Genes02:07

Organization of Genes

Overview
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Organization of Genes02:07

Organization of Genes

Overview
Genome Annotation and Assembly03:36

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.
Modern Molecular Taxonomy01:29

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...
Applications of Molecular Taxonomy01:20

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

Opioid Prescribing by US Dentists and Dental Specialists after Continuing Education.

JDR clinical and translational research·2026
Same author

Performance and usability testing of an automated tool for detection of peripheral artery disease using electronic health records.

Scientific reports·2022
Same author

Comparing methods for estimation of heterogeneous treatment effects using observational data from health care databases.

Statistics in medicine·2018
Same author

Exposure To Potential Drug-Drug Interactions in Teaching Hospital Of South Punjab, Pakistan.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research·2016
Same author

Big Data and Adverse Drug Reaction Detection.

Clinical pharmacology and therapeutics·2015
Same author

Toward enhanced pharmacovigilance using patient-generated data on the internet.

Clinical pharmacology and therapeutics·2014

Related Experiment Video

Updated: Jul 12, 2026

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
10:19

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

CLENCH: a program for calculating Cluster ENriCHment using the Gene Ontology.

N H Shah1, N V Fedoroff

  • 1The Huck Institute of Life Sciences, Pennsylvania State University, University Park, PA 16802, USA. nigam@psu.edu

Bioinformatics (Oxford, England)
|February 7, 2004
PubMed
Summary

Researchers developed a new tool for Arabidopsis thaliana gene functional analysis. This program retrieves Gene Ontology annotations, aiding biological interpretation of microarray data for the plant science community.

More Related Videos

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

Related Experiment Videos

Last Updated: Jul 12, 2026

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
10:19

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

Area of Science:

  • * Plant Molecular Biology
  • * Bioinformatics
  • * Genomics

Background:

  • * Microarray data analysis often yields gene lists requiring functional categorization.
  • * Gene Ontology (GO) categories are standard for this biological interpretation.
  • * Existing tools lack support for Arabidopsis thaliana gene data.

Purpose of the Study:

  • * To develop a program for functional category analysis of Arabidopsis thaliana genes.
  • * To address the need for specialized tools within the A. thaliana research community.

Main Methods:

  • * Developed a program to retrieve GO annotations for A. thaliana genes.
  • * Implemented functionality for user-selected gene list analysis.

Main Results:

  • * Successfully created a program for A. thaliana functional categorization.
  • * The tool facilitates biological interpretation of gene expression patterns.

Conclusions:

  • * The new program fills a critical gap for A. thaliana researchers.
  • * Enables more efficient and accurate functional analysis of plant gene data.