I will perform single cell rna seq analysis and cell type annotation

Zambia

I speak English

Bioinfomatics Pipeline Developer

I build reproducible bioinformatics pipelines for NGS data analysis, specializing in RNA-seq differential expression and cancer genomics. Recent project: RNA-seq pipeline on NCBI breast cancer dat...
About this Gig

Do you have single-cell RNA-seq data that needs 

professional analysis and cell type identification?


I will analyze your scRNA-seq dataset using Seurat 

and deliver a complete cell type annotation with 

publication-ready visualizations.


WHAT YOU GET:

- Quality control and filtering of low quality cells

- Normalization and scaling

- PCA dimensionality reduction

- Graph-based clustering

- UMAP visualization

- Marker gene identification per cluster

- Biological cell type annotation

- Complete analysis report


MY EXPERIENCE:

I analyzed 2,700 human PBMCs identifying 9 distinct 

cell populations including T cells, B cells, NK cells, 

Monocytes, Dendritic cells and Platelets using Seurat.

Full pipeline available on GitHub.


WHAT I NEED FROM YOU:

- 10X Genomics output files (barcodes, features, matrix)

 OR processed count matrix

- Organism name (human, mouse, etc.)

- Any known biology about your sample


TOOLS: R, Seurat, ggplot2, dplyr, UMAP, 

    PCA, Git, Linux


Send me a message before ordering to discuss 

your dataset. I will confirm feasibility first.

Expertise:

Classification

Clustering

Predictive analysis

Programming language:

Python

R

Frameworks:

Panda

APIs:

Other

Tools:

Jupyter Notebook

Colab

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