Drug Discovery research aims to accelerate the identification of new drugs and therapeutic strategies using computational and data-driven approaches. Prediction of drug–target interactions (DTI) Analysis of drug–disease and gene–disease associations Drug repositioning and repurposing for new indications Machine learning and deep learning models for drug screening Network-based approaches for therapeutic discovery Molecular representation learning (graph, […]
Genome Analysis focuses on decoding, processing, and interpreting large-scale genomic data to understand genetic variation and its biological implications. This direction forms the foundation for many downstream applications in bioinformatics and biomedicine. Development of high-throughput sequencing data analysis pipelines (NGS pipelines) Detection and characterization of genomic variants (SNPs, indels, structural variants) Genome assembly, annotation, and […]
Forensic DNA Profiling applies bioinformatics and genomic technologies to human identification and forensic investigations. DNA fingerprinting and individual identification using genetic markers Analysis of short tandem repeats (STRs) and SNP-based profiling Kinship and paternity testing Forensic analysis from degraded or low-quality DNA samples Development of population-specific allele frequency databases Statistical models for match probability and […]
Personalized Medicine focuses on tailoring healthcare and treatment strategies based on individual genetic profiles and multi-omics data. Identification of biomarkers for disease diagnosis and prognosis Genotype-driven prediction of drug response (pharmacogenomics) Integration of genomics, proteomics, and clinical data Disease risk prediction and early screening models Precision oncology and targeted therapy development Patient stratification using machine […]
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