GEAR Genomics: a user-friendly, open-source web platform enabling interactive genomic analysis for molecular biologists
Clicks: 1
ID: 313790
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
1 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #1,203 of 1,214 articles by views in Nucleic Acids Research
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,214 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Many routine genomics tasks in molecular biology still depend on heterogeneous and proprietary software tools that hinder accessibility, reproducibility, and seamless laboratory use. We present GEAR (https://www.gear-genomics.com/), a unified, web-based genomics framework that provides a collection of lightweight, interactive applications for common molecular biology and genomics analyses directly in the browser. GEAR requires no software installation, user registration, or licensing and is designed for rapid, intuitive use without prior bioinformatics expertise. The platform integrates robust, well-established backend algorithms with modern web technologies to support a diverse set of tasks, including Sanger chromatogram visualization, alignment and variant detection, primer and padlock probe design, in-silico PCR, qPCR analysis, barcode generation and inspection, sequencing quality control, DNA manipulation, and sequence alignment visualization. In summary, GEAR serves as an integrated, open, extendible, and user-friendly genomics web server that consolidates a diverse set of tools within a single coherent framework with all code free and open-source (https://github.com/gear-genomics). By emphasizing interactivity, reproducibility, and ease of use, GEAR aims to support both routine laboratory tasks and exploratory genomic analyses across a broad range of research applications.
| Reference Key |
openalex_W7160860682
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Andreas Untergasser, Markus Hsi-Yang Fritz, Vladimı́r Beneš, Tobias Rausch |
| Journal | Nucleic Acids Research |
| Year | 2026 |
| DOI |
10.1093/nar/gkag445
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.