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I will analyze rna seq data using deseq2, edger, go, kegg, and pca
Turning Complex Science into Clear, Impactful Content
Biotechnologist & Data Scientist with 2+ years of U.S. institutional experience specializing in Bioinformatics, Genomics, and Scientific Writing. I bridge the gap between complex biological data and...
About this Gig
Looking for a rigorous, publication-ready RNA-seq analysis, not a script that just spits out a CSV?
I'm Dr. Faisal, a PhD plant molecular biologist and postdoctoral researcher (Connecticut Agricultural Experiment Station, USA) with 35+ peer-reviewed publications and hands-on RNA-seq experience across 20+ species.
WHAT YOU GET:
QC (FastQC/MultiQC)
Trimming and alignment (HISAT2/STAR or kallisto/salmon)
Differential expression (DESeq2/edgeR)
PCA, volcano plots, heatmaps
GO enrichment and KEGG pathway analysis
Written biological interpretation
WHO THIS IS FOR:
Grad students, postdocs, and labs with raw FASTQ or count data who need correct, publication-grade analysis, not just numbers.
WHAT I NEED FROM YOU:
FASTQ files, count matrix, or SRA accessions
Experimental design (which samples are which group)
Reference genome/species
Message me before ordering if your dataset is large or a non-model species, so I can quote accurately.
My Portfolio
FAQ
What input data do you need from me?
I need your raw RNA-seq data (FASTQ files) or count matrix. I also need your sample metadata (conditions, replicates, etc.). If you have reference genome information, please share that as well.
What bioinformatics tools do you use?
I use standard tools including DESeq2, edgeR, limma-voom, ggplot2, pheatmap, clusterProfiler, and others for GO and KEGG enrichment. All code is reproducible and provided to you.
Do you provide the R code/script?
Yes! For Standard and Premium packages, I provide the complete R script used for the analysis. This ensures your analysis is fully reproducible.
Can you handle datasets larger than 24 samples?
Yes! If you have more than 24 samples, please message me before ordering. I can provide a custom quote based on your specific dataset size.
