Evidence map›Paper›PMID 42087081›Full record

ArticleBMC bioinformatics2026

GEO uploader: simplifying the data deposition in the GEO repository.

Ronald Domi, Falko Noé, Peter Leary, Hubert Rehrauer

Abstract read
In one paragraph

Article in BMC bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ronald DomiFunctional Genomics Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland.
Falko NoéFunctional Genomics Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland.
Peter LearyFunctional Genomics Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland.
Hubert RehrauerFunctional Genomics Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland. hubert.rehrauer@fgcz.ethz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Gene Expression Omnibus (GEO) (Clough and Barrett in: methods in molecular biology, Clifton, 2016) repository requires complex multistep submissions involving metadata preparation, FTP uploads, and MD5 validation. Current manual processes are error-prone, time-consuming, and require significant bioinformatics expertise, creating barriers for many researchers.

resultsWe present GEO Uploader, a web-based tool that automates the entire GEO submission workflow through an intuitive interface. The application reduces the submission initiation time from 2-3 h to under 20 s by automating file uploads, MD5 calculations, and metadata template population. Key features include parallel processing of uploads and checksum calculations, automated error prevention through template-based metadata completion, real-time progress tracking, and support for complex submission structures. Deployment across 30 + users with 50 + upload sessions, including datasets exceeding hundreds of gigabytes, demonstrates practical utility and reliability in research environments.

conclusionGEO Uploader significantly reduces the technical barrier for GEO submissions while minimizing errors through comprehensive automation. The tool supports data sharing by enabling researchers without specialized bioinformatics expertise to complete submissions independently. Available as open-source software with multiuser deployment capabilities, GEO Uploader represents a substantial improvement in research data sharing accessibility and supports broader adoption of open science practices in the genomics community.

Indexed as

Computational BiologyDatabases, GeneticSoftwareInformation DisseminationInternetMetadataUser-Computer InterfaceBioinformatics workflowGenomics data sharingOpen scienceReproducible researchResearch data managementScientific data repositoriesSubmission automation

Identifiers

PMID42087081
PMCPMC13312647

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.