Genomics and Bioinformatics Lab

Here is our services :
🔬 Protein Structure Analysis
Predict and refine 3D protein structures to uncover their function and role in biological processes.
🧪 Molecular Docking
Model protein-ligand and protein-protein interactions to support drug discovery and system-level insights.
🧬 Molecular Dynamics
Simulate biomolecular movements to reveal folding patterns, interaction dynamics, and therapeutic targets.
For more details visit: https://www.genomatics.net/services

Comprehensive RNA-Seq Based Data Analysis – Key Highlights
Gene Expression Analysis
Identify differentially expressed genes across conditions or treatments.

Detect and quantify alternative splicing events to understand transcript variation.

Characterize and quantify transcript isoforms for detailed gene expression insights.

Transcriptome Assembly and Annotation
Perform de novo transcriptome assembly for non-model organisms or novel transcript discovery.

Identify and characterize long non-coding RNAs (lncRNAs) and their potential regulatory roles.

Profile and quantify small non-coding RNAs (e.g., miRNAs, piRNAs) involved in gene regulation.

Why Choose Our RNA-Seq Analysis?
End-to-end, high-resolution transcriptome insights.

Suitable for functional genomics, biomarker discovery, and systems biology.

Customized analysis pipelines for accurate and reproducible results.
For more detail visit :
https://www.genomatics.net/services

Gene Network, Single-Cell, and Long-Read Transcriptomics
Gene Network and Pathway Analysis:

Gene Co-expression Networks: Identifies relationships between genes based on their expression patterns, helping to uncover gene modules involved in biological processes.

Spatiotemporal Expression Patterns: Analyzes gene behavior across time and space to understand regulation during development, disease, and environmental response.

Functional Annotation & Enrichment Analysis: Assigns biological functions to genes and identifies enriched pathways to understand gene roles in processes like metabolism and immune response.

Single-Cell Transcriptomics:

Gene Expression at Single-Cell Level: Single-cell RNA sequencing (scRNA-seq) analyzes gene expression in individual cells, revealing cellular diversity previously undetectable in bulk RNA-seq.

Cellular Heterogeneity and Cell Type Identification: Uncovers distinct cell types and subtypes within a tissue, providing insights into development, disease, and immune responses.

Long-Read Transcriptomics:

Long-Read Sequencing Data: Technologies like PacBio and Oxford Nanopore allow the sequencing of full-length transcripts, addressing limitations of short-read sequencing.

Full-Length Transcripts & Complex Gene Structures: Enables the study of complex gene structures, alternative splicing, and novel isoforms that are crucial for understanding gene regulation in diseases like cancer.
For more detail visit : https://www.genomatics.net/services

🎉🎊 Heartiest Congratulations 🎊🎉 to Dr. Athar Hussain🎓✨

On behalf of the Genomics and Informatics Lab (GIL) Team, we extend our warmest congratulations on your well-deserved promotion to Assistant Professor at the University of Management and Technology (UMT), Lahore! 🏛️🎖️

Your dedication, hard work, and passion for research and academia continue to inspire us all. Wishing you even greater success in your journey ahead! 🚀✨

🎉🚀🎊

We want you. Come and join our vibrant team of experts at genomatics.net.