Compare samples side by side
Look for outliers in read quality and pipeline metrics before drawing conclusions from downstream results.
One report. The whole experiment.
MultiQC in Bridge Horizon
MultiQC brings quality checks and pipeline summaries together so your team can compare samples without chasing separate files. See how Bridge Horizon keeps that report beside the run and its results.
From reads to review
Input
FastQC results and pipeline summaries
Check
MultiQC collects metrics across samples
Review
A report you can review and share in context
In your workflow
A clearer first pass through your results
A MultiQC report is most useful when it is connected to the analysis that produced it.
Keep the run in view
Bridge Horizon keeps the report with its files, folders and run history, so reviewers can see where the numbers came from.
Share context, not a transfer
Give named collaborators access to the relevant results through a link, with permissions controlled for the project, dataset or report.
Where MultiQC appears
Quality Control
The experiment-level report places resource recommendations and applicable QC tables above the standard FastQC sections.
Explore pipelineBulk RNA-seq
Review trimming, alignment and other run metrics alongside the gene counts and transcript estimates.
Explore pipelineBulk TCR Detection
Review read quality with repertoire summaries and the full or productive-only result tables.
Explore pipelineReading the results
MultiQC summarizes the outputs produced by a workflow; the sections shown depend on which analyses ran. It does not replace reviewing the underlying result files.
Also see FastQC in Bridge Horizon.
See it in action
See a MultiQC report in its run context
Talk through your assay, sample volume and reporting needs with our team.