Ziaurrehman Tanoli

DLRNA-BERTa: a transformer approach for predicting molecule-RNA binding affinities

Abstract Therapies targeting RNA are rapidly expanding, with 24 FDA-approved RNA therapeutics and over 130 currently in clinical trials, highlighting RNA’s growing role in drug discovery. In this context, transformer-based language models provide a scalable and cost-effective approach to accelerate RNA-targeted drug di...

CoTRA: a comprehensive R/Shiny framework for transparent bulk and single-cell RNA-seq 1 analysis 2

Bulk and single-cell RNA sequencing has become essential for investigating disease mechanisms and identifying diagnostic biomarkers, but the growing volume of transcriptomic data remains difficult to reuse efficiently for many researchers.

CoTRA: a comprehensive R/Shiny framework for transparent bulk and single-cell RNA-seq analysis

Bulk RNA-seq and single-cell RNA-seq (scRNA-seq) are widely used to investigate gene-expression changes, but downstream analysis often requires multiple statistical, visualization, and reporting tools, creating fragmented workflows that are difficult to configure and reproduce. We developed CoTRA (Comprehensive Toolbox...

PrimeKG-Plus: a refreshed and rare-disease-enriched precision medicine knowledge graph

CoTRA: an integrated R/Shiny framework for transparent bulk and single-cell RNA-seq analysis

Bulk and single-cell RNA sequencing (scRNA-seq) have become essential for investigating disease mechanisms and identifying diagnostic biomarkers. However, the growing volume of transcriptomic data remains difficult to reuse efficiently for many researchers. Downstream analysis often requires multiple statistical, visua...