Evidence map›Paper›PMID 21097893›Full record

ArticleNucleic acids research2011

NCBI GEO: archive for functional genomics data sets--10 years on.

Tanya Barrett, Dennis B Troup, Stephen E Wilhite, Pierre Ledoux, Carlos Evangelista, Irene F Kim, Maxim Tomashevsky, Kimberly A Marshall, Katherine H Phillippy, Patti M Sherman and 5 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 663 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
663citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

663 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Transcriptional insights into the CD8Journal of translational medicine · 2020
    Pooled it
  3. Distinct gene expression characteristics in epithelial cell-International journal of medical sciences · 2019
    Pooled it
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603 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Tanya BarrettNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 45 Center Drive, Bethesda, MD 20892, USA. barrett@ncbi.nlm.nih.gov
Dennis B Troup
Stephen E Wilhite
Pierre Ledoux
Carlos Evangelista
Irene F Kim
Maxim Tomashevsky
Kimberly A Marshall
Katherine H Phillippy
Patti M Sherman
Rolf N Muertter
Michelle Holko
Oluwabukunmi Ayanbule
Andrey Yefanov
Alexandra Soboleva

Funding

National Biomedical Information ServicesZIHLM200888 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PALTOO, DINA · 2009 to 2025
$5200.7M
Intramural NIH HHS
6 · The paper itself

Abstract

A decade ago, the Gene Expression Omnibus (GEO) database was established at the National Center for Biotechnology Information (NCBI). The original objective of GEO was to serve as a public repository for high-throughput gene expression data generated mostly by microarray technology. However, the research community quickly applied microarrays to non-gene-expression studies, including examination of genome copy number variation and genome-wide profiling of DNA-binding proteins. Because the GEO database was designed with a flexible structure, it was possible to quickly adapt the repository to store these data types. More recently, as the microarray community switches to next-generation sequencing technologies, GEO has again adapted to host these data sets. Today, GEO stores over 20,000 microarray- and sequence-based functional genomics studies, and continues to handle the majority of direct high-throughput data submissions from the research community. Multiple mechanisms are provided to help users effectively search, browse, download and visualize the data at the level of individual genes or entire studies. This paper describes recent database enhancements, including new search and data representation tools, as well as a brief review of how the community uses GEO data. GEO is freely accessible at http://www.ncbi.nlm.nih.gov/geo/.

Indexed as

Databases, GeneticGene Expression ProfilingGenomicsOligonucleotide Array Sequence AnalysisUser-Computer Interface

Identifiers

PMID21097893
PMCPMC3013736

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.