Gene Expression Omnibus (GEO)
GEO is a public functional genomics data repository supporting MIAME-compliant data submissions. Array- and sequence-based data are accepted. Tools are provided to help users query and download experiments and curated gene expression profiles.
Repository Scope
Research Areas
Life Sciences; Biology; Basic Biological and Medical Research; General Genetics;
Data Types
Genomic/Molecular; Experimental; Observational;
Data Types Encouraged/Permitted
From the FAQ (https://www.ncbi.nlm.nih.gov/geo/info/faq.html#kinds), GEO was designed around the common features of most of the high-throughput and parallel molecular abundance-measuring technologies in use today. These include data generated from microarray and high-throughput sequence technologies, for example:
- Gene expression profiling by microarray or next-generation sequencing (see examples)
- Non-coding RNA profiling by microarray or next-generation sequencing (see examples)
- Chromatin immunoprecipitation (ChIP) profiling by microarray or next-generation sequencing (see examples)
- Genome methylation profiling by microarray or next-generation sequencing (see examples)
- High-throughput RT-PCR (see examples)
- Genome variation profiling by array (arrayCGH) (see examples)
- SNP arrays (see examples) (see human subject FAQ)
- Protein arrays (see examples)
Data Types Explicitly Prohibited
Geo does not accept partial or heavily filtered data sets (https://www.ncbi.nlm.nih.gov/geo/info/faq.html#summarysubset)
Fee for JHU Researchers to Deposit No
Data Limit
None listed
Data Access
Option for Data Access
Open Access;
Details on Data Access
Anybody can access and download public GEO data. There are no login requirements.
Sensitive Data
Human Data Accepted
Yes
Level of Deidentification Required
No specific de-identified standard given. GEO policy is that it is the depositor’s responsibility to ensure that the submitted information does not compromise participant privacy, and is in accord with the original consent, in addition to all applicable laws, regulations, and institutional policies.
Human Participant Data Sharing Policy
Administration
Required Funder
None listed
Persistent Identifier
Accession numbers
Data Retention Period
No stated retention period
AI LLM Policy
None listed
re3data
re3data Keywords:
COVID-19; gene expression; genetic regulation; genomic data
re3data Repository Contact
geo@ncbi.nlm.nih.gov