Aladdin Hamwieh

This study uses metabolite-based genome-wide association studies to identify genetic factors influencing bioactive compound variation in chickpea seeds.

TarDict predicts drug-target interactions using SMILES data with 95% accuracy by leveraging a RandomForestClassifier trained on 20442 entries.

SNPector identifies and analyzes SNPs in genomic sequences to assess gene pathogenicity and drug response using clinical databases.

KASP-Hedgehog designs allele-specific PCR primers using genomic data and SNP databases to enhance PCR selectivity and provide in silico validation.

The paper identifies salinity tolerance-related genes in chickpea using genome-wide association and in silico PCR analysis of a germplasm subset.