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I will perform rnaseq differential expression analysis with deseq2 or edger
I will analyze your proteomics LC MSMS data and deliver publication results
University researcher specializing in LC-MS/MS proteomics, transcriptomics, and multi-omics integration. I publish in journals like Scientific Reports (Nature) and work daily with MaxQuant, DIA-NN, DE...
About this Gig
Need help with your RNA-seq data? I am a university researcher published in Scientific Reports (Nature), specializing in multi-omics analysis for biomarker discovery.
I work with DESeq2, edgeR, and limma daily not just two-group comparisons, but complex designs: paired samples, time-series, multi-factor experiments, and batch effects.
What I offer:
Quality filtering and normalization
Differential expression analysis (DESeq2/edgeR)
Volcano plots, heatmaps, MA plots, PCA publication-quality
Gene set enrichment and pathway analysis (GO, KEGG, GSEA)
R scripts included in Standard & Premium tiers
I work with: count matrices from featureCounts, HTSeq, STAR, Salmon, or any standard pipeline.
Note: Basic tier covers QC and exploratory analysis only no differential testing.
Technology:
RStudio
•
Other
Expertise:
Experiment design
•
Statistics
Programming language:
Python
•
R
FAQ
Q: What do you need from me?
A: Your count matrix and a sample metadata sheet describing groups and conditions.
Q: Do you provide R code?
A: Standard and Premium include commented, project-specific R scripts. Basic delivers results only.
Q: Can you integrate with proteomics data?
A: Yes — multi-omics integration is my specialty. Message me for a custom quote.
Q: Is my data confidential?
A: Yes. Your data is never shared, reused, or published. I can sign an NDA on request
Q: Can you handle batch effects or paired designs?
A: Yes — I model batch covariates or pairing in the design matrix and show before/after PCA so you can see the correction.
