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I will do bulk and single cell rna seq bioinformatics analysis
Juliia N
Sobre este Serviço
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.
Conheça mais sobre Juliia N
Juliia N
Bioinformatics Specialist for Genomics, Microbiome and Drug Discovery
- A partir dePolônia
- Membro desdeago. de 2026
- Responde em aprox.:1 hora
Idiomas
Polonês, Ucraniano, Russo, Inglês
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.
Meu portfólio
Perguntas frequentes
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.
