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I will analyze your bulk rna seq data and deliver clear, publication ready results
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
I offer custom bulk RNA-seq analysis tailored to your dataset and biological questions.
Each project is adapted to your experimental design, using reproducible and transparent workflows in R to ensure robust, interpretable, and publication-ready results.
Services include:
- Quality control and exploratory data analysis
- Read count normalization and filtering
- Differential gene expression analysis
- Functional enrichment analysis (GO / pathways, optional)
- Generation of clear, publication-ready figures and summary reports
With over four years of experience in bioinformatics and multi-omics analysis, I ensure that every analysis is statistically sound, well documented, and aligned with your research objectives.
Please contact me before ordering so we can discuss your data, experimental design, and analysis goals.
FAQ
What type of data can I provide?
You can provide raw FASTQ files or processed count matrices (e.g. HTSeq, featureCounts, or similar formats). The workflow will be adapted accordingly.
Do you process raw FASTQ files?
Yes. Raw data processing (alignment and quantification) can be included as an optional add-on.
What tools do you use?
I primarily use standard R packages, such as DESeq2 for differential expression analysis. I will provide the packages that I finally use in your specific analysis.
Can you analyze complex experimental designs?
Yes. I can handle multi-group designs, covariates, and contrasts, provided they are clearly defined beforehand.
Is biological interpretation included?
Interpretation is included.
Is my data confidential?
Absolutely. All data are treated as strictly confidential and used exclusively for your project. An NDA can be signed upon request.
