I will analyze your single cell rna seq data and provide tailored insights

You can provide either raw FASTQ files (for processing with Cell Ranger or equivalent) or processed count matrices (e.g., .mtx, .h5, or .csv format). I will adapt the workflow according to the data type and your project goals.

Yes. This step can be added as an extra service and includes read alignment, UMI counting, and generation of the expression matrix suitable for downstream analysis.

I primarily use Seurat, Scanpy, Monocle3, and Cell Ranger, along with standard R and Python packages for visualization and enrichment analysis.

Yes. Batch correction and multi-sample integration can be included as an add-on. I use Seurat v4, Harmony, or Scanorama depending on the dataset characteristics.

Before starting, we will exchange a few messages to define your main objectives and data details. I will then confirm the best package or suggest a custom offer if needed.

Yes. Interpretation is included in the Standard and Premium packages. I will highlight the most relevant clusters, marker genes, and pathways according to your experimental context.

Absolutely. All data and results are treated as strictly confidential and used exclusively for your project. I can sign an NDA upon request.