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I will do rna seq differential expression analysis and deseq2 plots
Bioinformatics Analyst RNA Seq, Molecular Docking and MD Simulations
I am a computational Biologist specializing in RNA-Seq transcriptomics, Molecular Docking and Molecular Docking simulations. I work with Linux Bash pipelines, R(DESeq2/Bioconducter), Python and GROMAC...
About this Gig
Welcome to my Computational Biology & Transcriptomics Service!
Are you looking for accurate, publication-ready RNA-Sequencing (RNA-Seq) data analysis? I provide end-to-end transcriptomic pipelines using industry-standard computational biology tools in Linux Bash, R, and Python.
Services I Offer:
Quality Control & Trimming (FastQC, Trimmomatic)
Splice-aware Read Alignment (HISAT2)
Gene Quantification (featureCounts)
Differential Gene Expression Analysis (DESeq2 in R)
High-Resolution Visualizations (Volcano Plots, Clustered Heatmaps, PCA)
Functional Enrichment Analysis (GO & KEGG Pathway Analysis)
What You Will Receive:
1. Cleaned datasets & annotated Excel tables of DEGs with fold changes and adjusted p-values.
2. High-resolution (300+ DPI) vector/PNG plots ready for publication.
3. Reproducible, well-commented R source scripts.
4. Summary analytical PDF report.
Please contact me before placing an order to discuss your dataset size and project requirements!
My Portfolio
FAQ
What input files do i need to provide?
You can provide raw FASTQ files or a gene count matrix along with your experimental design table (Control vs Treated samples).
Will i recieve the reproducible R code?
Yes, full and clean R scripts with comments are provided in the standard and premium packages for complete transparency and reproductibility.
