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ShiftScope compares any two single-cell populations, measures how far apart they are, finds the genes driving the difference, and ranks which genes to test next. It is condition-agnostic, so the same tool handles perturbation, disease, development, or cell-type comparisons. Its main use runs on Alex Marson's genome-scale CD4+ T-cell CRISPR screen. ShiftScope ranks hits by how strong the effect is and how little the gene has been studied, using a live PubMed count so novelty is grounded, not guessed. Claude then gives a keep-or-skip verdict. Famous regulators like VAV1 and CD45 drop; strong but overlooked genes, including chromatin-complex members with almost no papers, rise as candidates worth testing. It recovers correct biology across four domains and two real screens. Why it matters: a screen yields thousands of hits but a lab can test only a few. These are hypothesis-generating nominations that point wet-lab effort toward high-value, overlooked biology.

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Tina233

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