Miguel Brown

The paper analyzes splicing in 729 pediatric brain tumors, identifies splicing-defined subgroups, and highlights CLK1 exon 4 as an oncofetal event linked to tumor prognosis.

The paper introduces OpenPedCan, a harmonized multi-omic dataset of pediatric cancer patients, providing integrated genomic, transcriptomic, and proteomic data for research and clinical applications.

This study identifies DLK1 as a potential immunotherapeutic target in neuroblastoma through integrative proteomic, transcriptomic, and epigenomic analysis.

The paper introduces a web-based platform for building bioinformatics workflows using APIs, enabling hypothesis generation across multiple data sources.

AutoGVP classifies germline variants using ClinVar and modified InterVar criteria, enabling large-scale variant pathogenicity assessment in research.

OpenPBTA provides a collaborative platform to genomically characterize 1,074 pediatric brain tumors and 22 cell lines, offering analysis modules and somatic datasets for research and clinical applications.

annoFuse filters and prioritizes oncogenic gene fusions from RNA-Seq data, improving identification of clinically relevant fusions in cancer datasets.

This study improves detection of extracellular mRNAs using modified small RNA-sequencing, revealing their potential as biomarkers and showing increased resolution in disease states.