Trisicell (pronounced as “tricycle”) is a computational toolkit for scalable tumor phylogeny reconstruction and validation from full-length transcriptome profiling of single-cell data (e.g. Smart-seq2) as well as single cell genome or exome sequencing data. Trisicell allows identifying and validating robust portions of a tumor phylogeny, offering the ability to focus on the most important (sub)clones and the genomic alterations that seed the associated clonal expansion.
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).