ArticleNucleic acids research2026
GEAR Genomics: a user-friendly, open-source web platform enabling interactive genomic analysis for molecular biologists.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.