Sam Crowl

ProteomeScout v4: An open-source, harmonized, ecosystem for post-translational modifications

ProteomeScout v4 provides an open-source ecosystem for aggregating and harmonizing post-translational modification data with web and code-based access tools.

KSTAR v1.2: A faster and more and accessible KSTAR for kinase activity inference

KSTAR v1.2 improves speed and accessibility for kinase activity inference from phosphoproteomic data without compromising accuracy.

Evaluating splicing factor and kinase network crosstalk through global phosphoproteomics

The paper investigates crosstalk between splicing factors and kinase networks using phosphoproteomics and RNA-seq data, showing significant changes in phosphorylation and kinase activity upon splicing factor knockdown.

Critical role of cell competition in gliomagenesis

This study identifies cell competition as a key driver of gliomagenesis by showing that pre-malignant OPCs outcompete wildtype cells, and inhibiting this process reduces tumor growth.

Systematic analysis of the effects of splicing on the diversity of post-translational modifications in protein isoforms using PTM-POSE

This paper introduces PTM-POSE, a computational pipeline to analyze how alternative splicing affects post-translational modifications, and finds that 32% of PTMs are excluded from at least one Ensembl isoform.

KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data

KSTAR predicts patient-specific kinase activities from phosphoproteomic data, improving comparison across labs and identifying tissue-specific profiles and treatment responses.