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

I will analyze your single-cell RNA sequencing data using Python and R, providing reproducible workflows and clear biological interpretation.

Depending on your package, services include:

Quality control and cell filtering

Normalization and dimensionality reduction

Clustering and marker gene identification

Cell-type annotation

Differential expression and pathway analysis

Basic: QC and filtering for 1 sample, up to 10,000 cells.

Standard: QC, clustering, marker analysis and annotation for up to 3 samples and 30,000 cells total.

Premium: Standard services plus one group comparison and pathway analysis for up to 6 samples and 60,000 cells total.

Deliverables include relevant figures, result tables, commented scripts and a methods summary. Group comparisons require suitable biological replication and metadata.

Packages start from gene-by-cell count matrices. FASTQ processing, larger datasets and additional analyses require a custom quote. Revisions cover the agreed scope.

Please message me before ordering with your organism, research question, sample details and file formats so we can confirm feasibility.