Metabolomics Navigator Tools, strategies & workflow guidance for metabolomics

Quality control and filtering

dbnorm

Compare statistical batch-correction models and inspect technical variation in metabolomics matrices.

LC-MSR packageOpen source
Access toolSuggest an update

Overview

dbnorm provides R functions for batch adjustment and diagnostic visualization. It includes empirical-Bayes and two-stage approaches and compares corrected data structure. Model selection does not establish that biological differences were preserved.

What can this tool do?

Batch-effect correction

Common uses

  • Inspect and compare batch-adjustment results.

Scientific fit

Primary function

Quality control and filtering

Data compatibility

Inputs

Feature or peak table, Sample metadata

Outputs

Feature or peak table, Human-readable report

Input formats

CSV sample-by-feature matrix with batch labels

Output formats

Corrected CSV matrices and diagnostic PDF plots

Scope and considerations

Designed for

  • Compare statistical batch-correction models and inspect technical variation in metabolomics matrices.

Not designed for

  • Confirming compound identity or replacing study design and scientific review.

Important requirements

  • Processed metabolomics data, batch labels and compatible R dependencies.
  • CSV matrix with samples in rows, features in columns and batch labels; follow documented normalization/log2 preparation

Considerations

  • Confounding between batch and biological groups requires assessment before correction.
  • The documented setup includes archived R dependencies.

Access and documentation

Primary access

License checked against official package metadata or repository. Local setup requires the documented dependencies; no installation or hosted-service availability test was performed.

License: GPL-3.0

Evidence and review

Enveda intake candidate verified against official documentation, source/package metadata and primary-publication DOI/title/year on 2026-10-02. Editorial review only; no software execution or independent benchmark.

Core publications

Resource papers, direct updates and tool-specific methods. Selection policy.

  1. DBnorm as an R package for the comparison and selection of appropriate statistical methods for batch effect correction in metabolomic studies. Scientific Reports (2021). doi:10.1038/s41598-021-84824-3

Related tools

InjectionDesignSimilar function · A web service for designing LC-MS and GC-MS multi-omics injection sequences with QC placement, inter-batch balancing, intra-batch randomization, and downloadable worksheets.IonToolPackSimilar function · IonToolPack groups graphical mass-spectrometry utilities for raw-data visualization, PeakQC quality assessment, tandem-library matching, targeted MS1 extraction and feature-list comparison.ISFragSimilar function · ISFrag recognizes candidate in-source fragments in LC-MS data by combining feature relationships and available MS/MS evidence.MAFFINSimilar function · Normalize metabolomics feature intensities using selected features and corrected signal responses.

Entry history

Changes to this catalogue entry, not the tool's software release history. Acceptance and editorial review are separate.

  1. 2026-10-05 · First committed entry

    Add seven source-validated QC tools and Enveda intake ledger

    View change · Entry at this revision

Full GitHub history