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SITH: An R package for visualizing and analyzing a spatial model of intratumor heterogeneity.


ABSTRACT: Cancer progression, including the development of intratumor heterogeneity, is inherently a spatial process. Mathematical models of tumor evolution may be a useful starting point for understanding the patterns of heterogeneity that can emerge in the presence of spatial growth. A commonly studied spatial growth model assumes that tumor cells occupy sites on a lattice and replicate into neighboring sites. Our R package SITH provides a convenient interface for exploring this model. Our efficient simulation algorithm allows for users to generate 3D tumors with millions of cells in under a minute. For visualizing the distribution of mutations throughout the tumor, SITH provides interactive graphics and summary plots. Additionally, SITH can produce synthetic bulk and single-cell DNA-seq datasets by sampling from the simulated tumor. A streamlined API makes SITH a useful tool for investigating the relationship between spatial growth and intratumor heterogeneity. SITH is a part of CRAN and can be installed by running install.packages("SITH") from the R console. See https://CRAN.R-project.org/package=SITH for the user manual and package vignette.

SUBMITTER: Nicol PB 

PROVIDER: S-EPMC9374116 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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<i>SITH:</i> An R package for visualizing and analyzing a spatial model of intratumor heterogeneity.

Nicol Phillip B PB   Barabási Dániel L DL   Coombes Kevin R KR   Asiaee Amir A  

Computational and systems oncology 20220531 2


Cancer progression, including the development of intratumor heterogeneity, is inherently a spatial process. Mathematical models of tumor evolution may be a useful starting point for understanding the patterns of heterogeneity that can emerge in the presence of spatial growth. A commonly studied spatial growth model assumes that tumor cells occupy sites on a lattice and replicate into neighboring sites. Our R package <i>SITH</i> provides a convenient interface for exploring this model. Our effici  ...[more]

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