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-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

Genomics

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...

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...

Next-generation Sequencing

Next-generation Sequencing

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.

Genetic Screens

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

You might also read

Related Articles

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

Sort by

Same author

NCBI GEO: archive for gene expression and epigenomics data sets: 23-year update.

Nucleic acids research·2023

Same author

Future-proofing and maximizing the utility of metadata: The PHA4GE SARS-CoV-2 contextual data specification package.

GigaScience·2022

Same author

Accessing NCBI data using the NCBI Sequence Viewer and Genome Data Viewer (GDV).

Genome research·2020

Same author

Cell Lines as Biological Models: Practical Steps for More Reliable Research.

Chemical research in toxicology·2019

Same author

H<sup>+</sup> and Pi Byproducts of Glycosylation Affect Ca<sup>2+</sup> Homeostasis and Are Retrieved from the Golgi Complex by Homologs of TMEM165 and XPR1.

G3 (Bethesda, Md.)·2017

Same author

The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit.

Nature biotechnology·2017

Search research articles

Related Experiment Video

Updated: Jun 28, 2026

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

NCBI GEO: archive for high-throughput functional genomic data.

Tanya Barrett¹, Dennis B Troup, Stephen E Wilhite

¹National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 45 Center Drive, Bethesda, MD 20892, USA. barrett@ncbi.nlm.nih.gov

Nucleic Acids Research

|October 23, 2008

Summary

This summary is machine-generated.

The Gene Expression Omnibus (GEO) is a major public database for gene expression and functional genomic data. It provides tools for researchers to explore, analyze, and download diverse high-throughput datasets.

More Related Videos

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Related Experiment Videos

Last Updated: Jun 28, 2026

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

The Gene Expression Omnibus (GEO) is a critical public repository for high-throughput functional genomic data.
It houses data generated using technologies like microarrays and next-generation sequencing.
GEO supports scientific reporting standards such as Minimum Information About a Microarray Experiment (MIAME).

Purpose of the Study:

To summarize the structure, content, and operational procedures of the GEO repository.
To highlight GEO's data mining features for exploring functional genomic data.
To provide an overview of a key resource for the research community.

Main Methods:

The article describes the GEO database structure and its data management capabilities.
It outlines the types of functional genomic data hosted, including gene expression, copy number variations, and epigenetic modifications.
Features for data exploration, analysis, and download are detailed.

Main Results:

GEO serves as the largest public repository for high-throughput gene expression data.
It accommodates diverse functional genomic datasets and supports data annotation.
GEO offers comprehensive tools for data retrieval and analysis from gene- and experiment-centric viewpoints.

Conclusions:

GEO is an essential, freely accessible resource for researchers worldwide.
Its flexible infrastructure and data mining tools facilitate the analysis of functional genomic data.
The repository plays a vital role in advancing biological research through data sharing.