ArticleISME communications2026
Detecting "invisible"
Article in ISME communications, 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our understanding of microbial eukaryotic diversity is limited by biases induced by cultivation and DNA-amplification. Microbial lineages which are challenging or impossible to culture and develop universal metabarcoding primers for can be considered "invisible." These "invisible" microbes can however be detected in genomic and metagenomic sequencing datasets. This study introduces a new pipeline for targeted assembly of internal transcribed spacer (ITS) sequences from genomes and metagenomes (https://github.com/tage-ro/denim), which provides advantages in sensitivity and precision over comparable marker-gene assembly software. It further shows how publicly sequencing datasets can be screened for the genus
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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.