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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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EXPANDS: expanding ploidy and allele frequency on nested subpopulations

Noemi Andor1, Julie V Harness, Sabine Müller

  • 1Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA, Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany, Brain Tumor Research Center, University of California San Francisco, San Francisco, CA 94158, USA, Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA, Department of Pediatrics, University of California San Francisco, San Francisco, CA 94143, USA, Chair of Genome Oriented Bioinformatics, Center of Life and Food Science, Freising-Weihenstephan, Technische Universität München, 80333, Munich, Germany, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158 and Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA 94143, USA.

Bioinformatics (Oxford, England)
|November 2, 2013
PubMed
Summary

EXPANDS is a new bioinformatic tool that predicts tumor purity and subclonal composition from sequencing data. This method helps understand cancer evolution and recurrence by analyzing distinct cell subpopulations.

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