Ayman Osman, PhD.

Hi there! I’m Ayman Osman, a bioinformatician specializing in multi-omics research. My work focuses on integrating various omics data to uncover insights into complex biological systems, particularly in the context of cancer research. I have extensive experience in analyzing epigenomic, proteomic, and gene expression data analysis, utilizing both command line tools and R/Bioconductor for my analyses.

Projects

• RNAseq Differential Expression Analysis Shiny App This tool performs RNAseq differential expression analysis using edgeR and limma. It allows users to upload count data and sample metadata, choose species, and then run the analysis. The app generates diagnostic plots and tables for visualization and lets users download the differential expression results.

  Link to the app: https://vvr6z0-ayman-osman.shinyapps.io/rnaseq_analysis/

• DNA to Protein Translation Tool: This is a simple tool that translates a given DNA sequence into its corresponding protein sequences.
• Multi-Omics Data Integration: Leading a project that integrates genomic, transcriptomic, and epigenomics data to identify biomarkers and therapeutic targets in heart diseases. Developing analysis pipelines using bash and R/Bioconductor packages.
• ChIP-Seq Data Analysis: Chip-seq data analysis using R/bioconductor.
• Cut&Tag data analysis: Cut&tag data analysis, specifically for histone modifications, using HPC systems.
• RNA-seq data analysis: RNA-Seq data analysis, including data preprocessing, differential expression analysis, visualization, and functional enrichment

Skills

• Programming Languages: R, Bash, and python
• Tools: Github, conda, slurm, nextflow, cloud computing.

Education

• PhD in medical science, Linköping University, Sweden. 2017.
• MSc in molecular biology, Skövde University, Sweden. 2011.
• Genomic Data Science Specialization, Johns Hopkins University & Coursera, 2025.

Get in Touch

• Email: ayman23977@gmail.com
• LinkedIn: https://www.linkedin.com/in/ayman-osman/