Arjun Singh Yadaw

The paper introduces predicTox, a database integrating clinical risk scores and gene expression data to identify genomic variants and pathways linked to drug-induced cardiotoxicity.

The paper identifies cardiotoxic drug signatures using bulk transcriptomics and integrates them with genomic and single-cell data to predict toxicity mechanisms.

The paper clusters rare diseases using a knowledge graph with node embeddings, identifying 37 clusters with shared genes and semantic similarities.

This study identifies a four-drug combination that promotes axonal regeneration in the optic nerve of rats by targeting subcellular processes, leading to functional recovery.

The paper identifies SCI-induced changes in axonal RNA, including circular RNAs, and shows that reducing ADAR1 promotes axonal outgrowth.

The paper creates a high-resolution cellular atlas of healthy and injured kidney cell states and niches using single-cell and spatial technologies, identifying molecular signatures and pathways related to kidney injury.

The paper introduces Bwb, a tool for creating and executing reproducible bioinformatics workflows via a drag-and-drop interface using Docker containers.

The paper uses simulations and experiments to show that imbalances between higher-level subcellular processes like vesicle transport and microtubule growth lead to dystrophic bulb formation in neurite outgrowth.

The paper optimizes an RNA-seq workflow for multi-threaded environments, achieving significant speed improvements by optimizing all steps, not just alignment.

This paper demonstrates that RNA-seq analysis can depend on the computing environment and shows that software containers improve reproducibility.