Rohan Dandage

The paper identifies intra-genic mutational robustness through alternative splicing in cancer, showing it can complement inter-genic robustness and is associated with worse disease outcomes.

This study maps the metabolic complex genetic interaction network of chromosome 4p loss in basal breast cancer to identify targetable vulnerabilities.

PARPAL is a web database that analyzes protein redistribution in yeast after paralog deletion using high-content screening and deep learning, providing insights into gene retention and evolution.

The paper quantifies the fitness cost of spurious phosphorylation in yeast by expressing tyrosine kinases and analyzing phosphoproteomes, finding a strong correlation between spurious phosphorylation and decreased growth.

The paper introduces Mach-1, an RNA foundation model that predicts transcriptome architecture from DNA sequence, validated through experimental perturbations and CRISPR editing.

This study uses single-cell imaging to analyze protein dynamics in response to paralog deletion, revealing mechanisms of gene retention and functional divergence.

The paper shows that SH3 domain specificity in PPIs is influenced by host protein identity and domain position, not just intrinsic domain properties.

beditor designs guide RNA libraries for CRISPR-mediated base editing across species and editors, using scores to select optimal guides for minimizing off-target effects and maximizing editing efficiency.

dms2dfe reduces noise and performs downstream analyses of Deep Mutational Scanning data to identify selection pressures and molecular constraints.