PRACTICAL ARCHIVE.
A curated collection of practical case studies, bridging the gap between high-performance software engineering and advanced bioinformatics research.
Nexus Genomics Institute
About The Project
End-to-end architecture and website development for the Nexus Genomics Institute, focusing on clean UI/UX and seamless scientific data presentation.
- Developed high-performance frontend architecture for genomics portal.
- Built secure RBAC portals with real-time API integrations.
- Utilized Next.js, TypeScript, TailwindCSS, and Supabase.
- Enabled secure access and seamless presentation of complex datasets.
Herbal Omics Lab
About The Project
Developed the official digital presence and laboratory portal for the Herbal Omics Lab, bridging botanical research with accessible web design.
- Created full-stack portal showcasing omics publications and datasets.
- Implemented structured metadata and custom data visualizations.
- Utilized React, Node.js, MongoDB, and customized charting libraries.
- Established robust infrastructure for academic discoverability.
Learning OS
About The Project
Engineered a comprehensive Learning Operating System (Learning OS) designed to streamline educational workflows and knowledge management.
- Developed modular educational platform with dynamic dashboards.
- Integrated personalized learning paths and highly accessible (a11y) designs.
- Engineered using Next.js, Redux, and PostgreSQL.
- Streamlined complex educational workflows with an interactive UI.
MADS-Box Gene Detection
About The Project
Comprehensive analysis of the evolutionary lineage of MADS-box_genes using advanced comparative genomics.
- Detected and mapped MADS-box_genes across various species.
- Utilized comparative genomics to trace evolutionary lineages.
- Employed MEGA, ClustalW, and BLAST for genomic data interpretation.
- Provided deep insights into plant developmental biology and evolution.
HP Protein Prediction
About The Project
Benchmarking AI structure_prediction tools for Hypothetical Proteins (HP) to evaluate their accuracy and reliability.
- Evaluated performance of state-of-the-art AI structure_prediction models.
- Analyzed 3D structures and confidence scores (pLDDT) for hypothetical proteins.
- Benchmarked AlphaFold3, RosettaFold, and ESMFold using PyMOL.
- Established reliability benchmarks for future computational drug discovery.
Structural Annotation Pipeline
About The Project
Automated functional and structural annotation for a large-scale dataset of uncharacterized hypothetical proteins.
- Developed automated pipeline to process 1,000 hypothetical proteins.
- Batch-processed sequences and queried remote biological databases.
- Scripted robustly in Python/Bash using Biopython and REST APIs.
- Accelerated functional discovery and reduced manual annotation time.
NGS RNA-Seq Analysis
About The Project
Differential gene expression analysis of Next-Generation Sequencing (NGS) data to identify significant transcriptomic changes.
- Processed raw RNA-seq reads to quantify gene expression levels.
- Performed read alignment, count normalization, and statistical testing.
- Conducted analysis using DESeq2, FastQC, and ggplot2 in R.
- Identified key differentially expressed genes for downstream validation.