IDR searcher: a search engine solution for public image resources
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ID: 319206
2026
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Abstract
Abstract Motivation In recent years, public image resources have emerged, but finding quality data efficiently remains a challenge, therefore limiting reuse. Results IDR searcher is an open-source search engine designed to facilitate the exploration of datasets hosted in public bioimaging resources. The application offers a fast, efficient, cost-effective solution for discovering datasets and has the potential to address current disparities in finding quality datasets for exploratory research and can be combined with metadata visualization tools to enhance usability for the scientific community. Availability IDR searcher is deployed using Ansible playbooks and released under the GPL v2 license. The source code associated with this manuscript is available at https://doi.org/10.5281/zenodo.20641515. Supplementary information Supplementary data are available at Bioinformatics online.
| Reference Key |
openalex_W7166836611
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| Authors | Khaled Mohamed, William Moore, Dominik Lindner, Josh Moore, Jason R. Swedlow, Petr Walczysko, Frances Wong, Jean‐Marie Burel |
| Journal | BMC Bioinformatics |
| Year | 2026 |
| DOI |
10.1093/bioinformatics/btag486
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| URL | |
| Keywords | Keywords not found |
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