ArticleNature communications2026
IDBac: an open-access web platform to identify bacteria and analyze relationships in culture collections using MALDI-TOF mass spectrometry.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- MALDI Tandem Mass Spectrometry for Colony-Based Dereplication of Natural Products.bioRxiv : the preprint server for biology · 2026Article
- A survey of Burkholderiales secondary metabolites using library-scale stable isotope labeling reveals selective production of methyl-esterified 3-hydroxybutyrate oligomers.Journal of industrial microbiology & biotechnology · 2026Article
- maldipickr dereplicates microbial MALDI-TOF spectra to facilitate multiplexed isolation.Bioinformatics advances · 2026Article
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45 authors.
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Abstract
The identification and analysis of bacteria is central to the microbiological sciences. While gene sequencing methods have been the standard to achieve this, use of MALDI-TOF mass spectrometry (MS), particularly in clinical microbiology, can provide high-throughput identification to the subspecies level. However, biotyping has yet to be adopted outside of clinical settings due to the lack of a centralized public database of MS protein signatures that would facilitate isolate identification via spectral comparison. Further, most current MALDI MS data analysis platforms lack meaningful ways to compare properties from large numbers of bacterial isolates. Herein we present the IDBac web platform, a crowd-sourced central knowledgebase of protein MS signatures spanning seven bacterial phyla. Accompanying the knowledgebase is analysis infrastructure to identify unknown isolates, probe relationships within culture collections using metadata integration, and visualize specialized metabolite differences within groups of closely related bacteria. To highlight this utility and encourage wide community contribution, examples of each are presented.
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