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I will analyze rna seq data with deseq2 and publication ready plots
Bioinformatician Omics Data Analyst
Hi, I’m Maghooz Khan a professional Bioinformatician and AI developer. I work on genomics, metagenomics, RNA-Seq, epigenetics, methylation, CNV analysis, and AI-based bioinformatics projects. I use Py...
About this Gig
Looking for RNA-seq analysis with clear tables, plots, and biological interpretation?
I will analyze bulk RNA-seq or gene expression data for research, thesis, manuscript, or biotech projects. I can work from FASTQ files, count matrices, expression tables, and metadata files.
Services include:
- RNA-seq QC and sample review
- Differential expression analysis using DESeq2 or edgeR
- PCA, sample clustering, volcano plots, and heatmaps
- GO, KEGG, Reactome, or GSEA enrichment
- Clean DEG tables and gene expression summaries
- Word/PDF report with clear interpretation
- R/Python or Linux workflow code when required
Tools may include FastQC, MultiQC, STAR, HISAT2, Salmon, featureCounts, DESeq2, edgeR, clusterProfiler, ggplot2, R, Python, and Linux.
Please message me before ordering so I can confirm your sample number, groups, comparisons, input files, and the best package for your project.
FAQ
What files do you need to start?
I need FASTQ files, count matrix, metadata file, sample group details, and the comparisons you want to analyze.
Can you analyze raw FASTQ files?
Yes, I can analyze raw FASTQ files using a complete RNA-seq workflow, including QC, alignment or quantification, count generation, and downstream analysis.
Can you work with only a count matrix?
Yes, if you already have a count matrix and metadata, I can perform differential expression analysis, visualization, enrichment, and reporting.
Do you provide publication-ready plots?
Yes, I can provide PCA plots, volcano plots, heatmaps, bar plots, dot plots, and pathway enrichment figures.
