ArticleBioinformatics (Oxford, England)2026
mBatchNet: an interactive web server for diagnosis, correction, and benchmarking of batch effects in microbiome data.
Article in Bioinformatics (Oxford, England), 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
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
summaryBatch-effect diagnosis and correction are important for reproducible microbiome analysis and cross-study integration. Several batch-correction algorithms are available, but applying and comparing established methods in practice remains nontrivial because they differ in assumptions, accepted inputs, parameters, and evaluation outputs. Here, we present mBatchNet, an interactive web server for applying established batch-correction methods to processed microbiome feature tables and evaluating their effects within a single workflow. The server supports correction methods spanning recent microbiome-oriented approaches and established general-purpose baselines, validates uploaded feature tables and metadata, flags batch-target association, applies matched pre- and post-correction diagnostics, and exports corrected matrices, statistical summaries, run logs, and reproducibility records. In a 16S ribosomal RNA (rRNA) anaerobic digestion case study, mBatchNet revealed method-dependent differences in batch attenuation and phenotype preservation, highlighting its utility for comparing correction strategies. AVAILABILITY AND IMPLEMENTATION: mBatchNet is freely available without login at https://mbatchnet.com/. The latest source code is available at https://github.com/gilmore307/mBatchNet, and is archived at https://doi.org/10.5281/zenodo.20767444. The server is implemented with a Python/Dash front end and coordinated Python/R back-end analysis scripts.
Indexed as
Identifiers
What OpenQuestion holds
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.