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I will provide complete rna seq and differential expression analysis
About this Gig
Are you working with RNA-seq or Microarray datasets and looking to extract meaningful, statistically robust gene expression changes? As a computational biology researcher specializing in genomics and transcriptomics, I provide rigorous, end-to-end differential expression analysis and systems biology workflows tailored to your exact research goals.
Whether you are investigating disease mechanisms, drug treatments, or genetic perturbations, I will transform your raw or processed data matrices into publication-ready figures and comprehensive analytical reports.
Programming language:
R
Technology:
Other
Analysis Type:
Quantitative Analysis
•
Statistical Analysis
Tools:
RStudio
FAQ
What file formats do you need to start the analysis?
For RNA-seq, I typically work with raw count matrices (CSV/TXT) or raw count tables. For Microarray data, normalized expression matrices or raw CEL files work best. Always feel free to message me if you are unsure about your file format.
Which R packages do you use for the analysis?
For RNA-seq data, I use robust Bioconductor pipelines primarily centered around DESeq2 (or edgeR upon request). For Microarray data, I utilize limma. For network analysis, I use STRING and Cytoscape.
Will the plots be suitable for scientific publications?
Yes! All visualizations (Volcano plots, heatmaps, PCA plots) are generated in high resolution (300+ DPI, PDF/PNG formats) with clean labeling, making them fully ready for inclusion in research papers, theses, or presentations.
Can you help interpret the biological results?
Definitely. Alongside statistical tables and raw outputs, I provide a clear summary report explaining the findings, significant genes, and pathway enrichment results in a biologically meaningful context.
Should I contact you before placing an order?
Yes, I strongly recommend sending a quick message with your project details and dataset overview first. This ensures we select the right package and approach for your specific research questions.
