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ArticleScientific data2026

MIrROR release 02: Expanded and refined 16S-ITS-23S rRNA operon dataset.

Jisol Lee, Juyong Hong, Donghyeok Seol, Wonseok Lee, Junho Lee, Gyungbu Kim, Seoae Cho, Heebal Kim

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In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Jisol LeeDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.ORCID http://orcid.org/0009-0007-5623-1085
Juyong HongDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
Donghyeok SeolDepartment of Surgery, Seoul National University Bundang Hospital, 172 Dolma-ro, Bundang-gu, Seongnam, 13605, Republic of Korea.ORCID http://orcid.org/0000-0001-9695-5861
Wonseok LeeeGnome, Inc., Seoul, Republic of Korea.
Junho LeeeGnome, Inc., Seoul, Republic of Korea.
Gyungbu KimeGnome, Inc., Seoul, Republic of Korea.
Seoae ChoeGnome, Inc., Seoul, Republic of Korea. seoae@egnome.co.kr.
Heebal KimDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea. heebal@snu.ac.kr.ORCID http://orcid.org/0000-0003-3064-1303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid advancements in genome sequencing technologies, microbial genome data has exponentially increased, making it essential to continuously update dataset for accurate microbial identification and classification. We present the development of Microbial Identification using rRNA Operon Region (MIrROR) release 02, an expanded dataset based on 1,690,470 genomes (1,674,514 bacterial and 15,956 archaeal) sourced from NCBI. The final curated dataset covers 476,579 sequences, 249,907 genomes, and 29,051 species, representing increases of 387.39%, 472.49%, and 206.28% over the previous release. Key updates include the addition of archaeal genomes and taxonomy reclassification based on GTDB R220. Extensive curation was performed, including filtering operon lengths (3,500-7,000 bp), removing duplicate sequences, eliminating sequences with ambiguous nucleotides, and clustering of sequences at 99% identity to remove redundancies. The updated dataset showed improved performance in microbial mock community analyses, supporting its accuracy and reliability. These improvements make MIrROR release 02 a valuable resource for microbial profiling and various microbiological research applications.

Indexed as

ArchaeaBacteriaRNA, Ribosomal, 16SRNA, Ribosomal, 23SrRNA OperonBiocurationGenome, ArchaealGenome, BacterialRNA, Ribosomal, 16SRNA, Ribosomal, 23S

Identifiers

PMID41857061
PMCPMC13153412

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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.