I will perform rna seq differential expression and pathway enrichment analysis
About this Gig
I help students and researchers with professional bioinformatics and transcriptomics data analysis. Services include RNA-seq analysis, differential expression, variant analysis support, statistical analysis, PCA, heatmaps, pathway enrichment, and publication ready visualizations using R, Python, and Linux command line bioinformatics based workflows. I work with processed count matrices as well as raw FASTQ files for small to medium sized datasets. Clear communication, organized outputs, and accurate results are prioritized in every project. Please contact me before ordering to discuss your dataset and project requirements.
My Portfolio
FAQ
What type of datasets do you work with?
I work with RNA-seq, transcriptomics, differential expression, and small-to-medium NGS datasets. I can work with processed count matrices or raw FASTQ files depending on the package selected.
What files do I need to provide?
Please provide: FASTQ files or counts matrix sample metadata/group labels experimental design organism/reference information (if available)
Do I need bioinformatics knowledge to order?
No. I can help explain the workflow, results, and visualizations in a clear and research-friendly way.
Can you analyze large datasets?
For larger or highly complex datasets, please contact me before ordering so I can review computational requirements and provide a custom offer if needed.
What outputs will I receive?
Depending on the package, you may receive: DEG tables PCA plots heatmaps volcano plots pathway enrichment results QC reports publication-ready figures summary reports
Which tools do you use?
Common tools include: DESeq2 STAR featureCounts R Python Linux/WSL workflows
Should I contact you before placing an order?
Yes, especially for custom workflows, large datasets, multiple comparisons, or advanced transcriptomics projects.

