ArticleScientific data2025
Bronchoalveolar lavage fluid metagenomic datasets: a multidimensional clinical biomolecular resource.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
2 citing papers in PubMed.
- Metagenomic next-generation sequencing: new horizons in microbiology.Frontiers in cellular and infection microbiology · 2026Review
- LungMicroHostR: an R package for integrated host-microbiome analysis of bronchoalveolar lavage fluid metagenomic sequencing data.Frontiers in bioinformatics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Metagenomic Next-Generation Sequencing (mNGS) enables simultaneous sequencing of both microbial and host nucleic acids in clinical samples. However, analytical approaches for interpreting complex mNGS datasets are seldom disclosed, limiting advancements in multimodal analysis and omics-driven research models built upon mNGS results. We present 402 high-quality bronchoalveolar lavage fluid mNGS DNA and RNA sequencing datasets for developing combined microbial-host metagenomic diagnostic approaches. Only the microbial (non-host) sequence reads have been deposited. We provide comprehensive descriptions of methods, tools, and pipelines used for mining microbial features (DNA/RNA microbial composition and bacteriophage abundances) and host response features (differential expression genes, transposable elements, cell-type composition, and copy number variation). These data processing pipelines set a standard for future multimodal omics diagnostic research, promoting the adoption of standardized practices in omics-based studies that integrate clinical data.
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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.