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$
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I will do bulk and single cell rna seq bioinformatics analysis
Juliia N
About this gig
I'm a bioinformatician offering RNA-seq analysis using industry-standard tools DESeq2, Scanpy, and Cytoscape not automated black-box pipelines. Every script is run and checked by hand before delivery, so results are accurate and ready for your thesis, dissertation, or manuscript.
BASIC Bulk RNA-Seq Differential Expression
DESeq2 analysis from your raw counts table. You get a volcano plot, heatmap of top significant genes, an Excel table with Log2FC and adjusted p-values, and a short Methods paragraph. Publication-ready, 300dpi.
STANDARD + Protein-Protein Interaction Network
Everything in Basic, plus a STRING-based protein interaction network built in Cytoscape, with hub gene identification (cytoHubba) and a table of your top 10 hub genes.
PREMIUM Single-Cell RNA-seq Analysis
Full single-cell pipeline in Scanpy: quality control, clustering, and UMAP visualization. Cell types are labeled from real marker gene output never guessed. Includes UMAP plot, violin plots for marker genes, and a marker gene table per cluster.
I always confirm sample names match between your files before starting this prevents errors in your results.
Get to know Juliia N
Juliia N
Bioinformatics Specialist for Genomics, Microbiome and Drug Discovery
- FromPoland
- Member sinceAug 2026
- Avg. response time1 hour
Languages
English, Polish, Ukrainian, Russian
Bioinformatics specialist with an MSc and a strong academic focus on microbiology and biochemistry. I work with differential gene expression (DESeq2), single-cell analysis (Scanpy), microbiome profiling (phyloseq/vegan), molecular docking (AutoDock Vina), clinical variant annotation (Ensembl VEP), and publication-ready visualization — all built and tested in RStudio/Python with full reproducibility. Co-Founder & CSO of Forneus Technologies, leading biological data strategy for our bioinformatics and AI-driven HealthTech tools.
My Portfolio
FAQ
What file format do you need for the raw data?
CSV or TSV with raw read counts (genes as rows, samples as columns), plus a separate metadata file mapping sample names to groups.
Do you run sequencing alignment (FASTQ to counts)?
No, this gig starts from a raw counts matrix. If you only have FASTQ files, message me before ordering for a custom quote.
Can you help interpret the biological meaning of the results?
Yes. I provide a factual summary based on your actual numbers, and for Premium I identify hub genes and cell types directly from your data.
What software do you use?
R (DESeq2, ggplot2, pheatmap), Python (Scanpy) for single-cell, and Cytoscape for network analysis — all standard, peer-reviewed tools.
