I will do advanced rna seq and single cell data analysis
Bioinformatics Developer and Genetics and Bioengineering
About this Gig
Are you overwhelmed by complex NGS data and need publication-ready biological insights?
Welcome to my professional Bioinformatics service. I specialize in turning massive bulk and single-cell RNA-seq datasets into meaningful, high-resolution visual stories that are ready for your next academic paper or clinical research.
What I Offer:
- Data Quality Control: Rigorous normalization and PCA clustering to ensure data integrity.
- Differential Gene Expression (DGE): Precise statistical testing (T-tests, DESeq2/EdgeR pipelines) to identify up/down-regulated targets with highly detailed Volcano Plots.
- Pathway Enrichment Analysis: KEGG and GO enrichment with stunning horizontal bar charts.
- Pattern Discovery: Identifying biomarkers using z-scored Heatmaps.
- Single-Cell Profiling: Advanced scRNA-seq feature plotting (t-SNE/UMAP) for dynamic cell state analysis.
️ Why Choose Me? Instead of just delivering boring Excel spreadsheets, I deliver Publication-Grade Visualizations (as seen in my portfolio) coded customly in Python/R. Your results will be delivered with extreme precision, vivid colors, and academic standard aesthetics.
Please contact me before placing an order so we can discuss the spec
My Portfolio
FAQ
What type of data format do you accept?
I accept standard count matrices (.csv, .xlsx, .tsv) generated from any standard RNA-seq pipeline.
Can you customize the plot colors for my journal?
Absolutely! I can customize the colors, DPI, and format (PNG, PDF, TIFF, SVG) to perfectly match your target journal's requirements
Do you provide the source code?
Yes, upon request in the Premium package, I can provide the well-documented Python/R scripts used for your analysis.

