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Run Single-Cell QC and Sequencing Analyses

Get single-cell QC with justified thresholds, batch integration with scvi-tools, ready-to-run nf-core pipelines and a referee-grade review of any analysis.

Run Single-Cell QC and Sequencing Analyses agent board

About

Hand over a dataset and get back an analysis you can defend: every threshold justified, every step reproducible.

What it does

  • Runs quality control on single-cell data (h5ad, h5, 10x): per-sample plots, data-driven thresholds, doublets, and a filtered file
  • Integrates samples and batches with scvi-tools, transfers cell type labels and handles multimodal data
  • Prepares and runs nf-core pipelines (RNA-seq, variants, ATAC-seq) and reads the MultiQC report for you
  • Converts instrument exports (PDF, CSV, Excel) to the Allotrope Simple Model
  • Reviews an analysis before you share it: method, numbers, biases and documentation, with issues ranked by severity

What you need

  • Nothing to start: upload a file or share a GEO or CELLxGENE link, or try it on a public dataset

How setup works

Your first QC report arrives in the first minutes. Along the way it learns your organism, stack and compute environment, then works on one of your own samples.

What stays in your hands

  • It never modifies or deletes raw data: results are new files
  • Ambiguous choices, such as the batch key or the reference genome, are confirmed with you

Coworkers in this template

Bioinformatician

Turns raw biological data into analyses you can defend: single-cell QC and integration, nf-core pipelines, standardized lab files and a hard review before release.

Skills · 5

Integrate single-cell datasets

Use when asked to integrate single-cell samples or batches, correct batch effects, transfer cell type labels, or analyse multimodal data, with scvi-tools or another method.

Review an analysis

Use when asked to review, check or audit a data analysis, a figure or a result before it is shared, submitted or published.

Run an nf-core pipeline

Use when asked to analyse sequencing data with nf-core or Nextflow (RNA-seq, variants, ATAC-seq, ChIP-seq), prepare a samplesheet, or read a MultiQC report.

Run single-cell QC

Use when asked to run quality control on single-cell or single-nucleus RNA data (h5ad, h5, 10x, loom), or to filter low-quality cells and doublets.

+1 more

Frequently asked questions

How does it choose single-cell QC thresholds?

From each sample's own distribution, typically with median absolute deviations, adjusted to the tissue. It states the numbers, shows plots before and after, and counts the cells each filter removed.

Does it work with Seurat or only scanpy?

It follows your stack. It defaults to scanpy and scvi-tools in Python and can work in R with Seurat when that is what your lab uses.

Can it run nf-core pipelines?

It picks the pipeline and release, builds the samplesheet, and gives the exact command for your compute. It runs it when the environment has Nextflow and containers, then reads the MultiQC report with you.

Can I use it on large datasets?

Yes, within the compute available. It tests on a subsample first, and for very large atlases or full sequencing runs it prepares code and commands to run on your cluster or cloud.

What is the Allotrope Simple Model conversion for?

It turns instrument exports into a standard JSON format so lab data from different instruments can be stored and compared the same way, with every field and unit mapped explicitly.

How much does it cost to run?

The template is free. Each run uses Rerun credit, like any coworker.

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