Javad Zahiri

123FASTQ simplifies NGS data preprocessing by integrating QC analysis, trimming, and format conversion in a user-friendly interface.

The paper reconstructs an intercellular interaction network in the mouse immune system using receptor-ligand data and gene expression data, revealing communication patterns and gene expression specificity.

RepCOOL integrates heterogeneous biological networks to identify new drug candidates for diseases, successfully suggesting four FDA-approved drugs for breast cancer stage II.

AntAngioCOOL is an R package that predicts anti-angiogenic peptides using machine learning, achieving 88% sensitivity and 77% specificity on an independent test set.

This paper introduces afpCOOL, a tool for detecting antifreeze proteins using SVM with 4 features, outperforming BLAST and showing the importance of evolutionary features and amino acid composition.