Welcome to the Multiomics Analysis Repository! This repository is created by Dr. Asmaa Mohamed Reda and is dedicated to advanced multiomics data analysis, integrating techniques across diverse omics layers such as microarray, RNA-Seq, miRNA, methylation, scRNA-seq, and metabolomics. It provides a comprehensive resource for handling and analyzing big data in the context of multiomics, offering tools and workflows for researchers and data scientists.
- Comprehensive Omics Workflows: Explore end-to-end pipelines for preprocessing, normalization, differential expression analysis, and downstream multiomics integration.
- Diverse Data Modalities: Techniques covering microarray, RNA-Seq, miRNA, methylation, single-cell RNA-Seq, and metabolomics datasets.
- Cutting-Edge Tools: Utilize modern tools and packages such as
limma,DESeq2,Seurat, and more, tailored for multiomics data. - Well-Documented Examples: Real-world examples with detailed documentation for reproducibility and clarity.
- Big Data Handling: Scalable methods designed to manage large and complex multiomics datasets effectively.
This repository focuses on:
- Microarray Analysis
- RNA-Seq and miRNA Data Processing
- DNA Methylation Analysis
- Single-cell RNA-Seq (scRNA-seq) Pipelines
- Metabolomics Data Integration
Let’s embark on this exciting journey to decode biology through Multiomics Analysis!