I will analyze single cell rna seq data using r and seurat

Are you working with single-cell RNA sequencing data and need help with your Seurat workflow?

I provide clear and reproducible single-cell RNA-seq analysis using R and Seurat. Depending on the selected package, I can help with:

Quality control and cell filtering

Normalization and variable feature selection

PCA, UMAP, clustering, and batch-effect assessment

Marker gene and differential expression analysis

Basic cell-type annotation using known markers

Publication-ready UMAP, violin, feature, dot, and heatmap plots

Troubleshooting Seurat objects, assays, layers, and analysis errors

You will receive organized R code, analysis outputs, figures, and a clear explanation of the workflow. I focus on accurate analysis, transparent communication, and results that you can understand and reproduce.

Please note: You must provide a count matrix, processed expression matrix, or Seurat object. Raw FASTQ processing is not included. Cell annotation is based on available markers and reference information and should be biologically validated.

Please contact me before ordering to discuss your data size, research question, expected deliverables, and timeline.