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CHOP researchers have developed a computational tool to determine which cells in patient tumor samples receive mitochondria from T cells.
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CHOP researchers have developed a versatile and low-cost technology for targeted sequencing of full-length RNA molecules.
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CHOP and UCLA researchers have created a tool that can discover tumor antigens derived from alternative RNA splicing, expanding the pool of cancer immunotherapy targets.
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Findings demonstrate how a new computational method could effectively analyze phenotypes and identify similarities among patient populations.
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CHOP researchers have developed a new computational tool that can more accurately discover and quantify RNA molecules from these error-prone long-read RNA sequencing data.
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CHOP has helped launch NCI-backed “Molecular Targets Platform” to streamline and catalyze drug development by harmonizing data about pediatric cancer targets and pathways.
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CHOP researchers have integrated environmental, genetic, and imaging data to better understand which factors might be clinically relevant when it comes to psychiatric and cognitive outcomes.
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CHOP researchers have developed new software called CancerVar, which helps researchers assess the clinical impacts of over 13 million somatic cancer mutations.
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Learning to adjust talkativeness could be an important growth opportunity for verbally fluent people with autism.
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The new search engine, called PhenCards, can help researchers, clinicians, and genetic counselors make more informed clinical decisions.