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Trisicell - Scalable intratumor heterogeneity inference and validation from single-cell data
Trisicell (Triple-toolkit for single-cell intratumor heterogeneity inference), pronounced as “tricycle”, is a new computational toolkit for scalable intratumor heterogeneity inference and evaluation from single-cell RNA, as well as single-cell genome or exome, sequencing data. Trisicell utilizes expressed SNVs and Indels to infer evolutionary relationships between genomic alterations and the cells that harbor them.
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Please see our preprint on bioRxiv to learn more.
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Trisicell was developed in collaboration between the Cancer Data Science Laboratory (CDSL) and the Laboratory of Cancer Biology and Genetics (LCBG) at the National Cancer Institute (NCI).
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