simulation

A total of 50 samples with various numbers of subpopulations per sample were simulated at variable noise rates and constant number of 200 mutations per sample.

datasets

Expanding Ploidy and Allele Frequency on Nested Subpopulations (expands) characterizes coexisting subpopulations in a single tumor sample using copy number and allele frequencies derived from exome- or whole genome sequencing input data (http://www.ncbi.nlm.nih.gov/pubmed/24177718). The model detects coexisting genotypes by leveraging run-specific tradeoffs between depth of coverage and breadth of coverage. This package predicts the number of clonal expansions, the size of the resulting subpopulations in the tumor bulk, the mutations specific to each subpopulation, tumor purity and phylogeny. The main function runExPANdS() provides the complete functionality needed to predict coexisting subpopulations from single nucleotide variations (SNVs) and associated copy numbers.  The robustness of subpopulation predictions increases with the number of mutations provided. It is recommended that at least 200 mutations are used as input to obtain stable results. Updates in version 1.7 include: (1) Higher subpopulation detection specificity, in particular for small subpopulations. (2) Higher accuracy for mutation assignment to subpopulations. (3) Whenever possible, SNVs are assigned not only to the subpopulation in which they first occurred, but also to descending subpopulations. (4) Two additional output files are created: subpopulation specific ploidy matrix and a summary file of all detected subpopulations, including information on the inferred ancestor and the closest descendant of each subpopulation. (5) New subpopulation plotting options (function plotSPs). (6) New phylogeny plotting option: user can choose between consensus and germline population to be included as control. (7) 50 simulated samples of various genetic complexities and measurement precision included for user testing. Special thanks to Dr. Ryan Morin for his contributions that have led to higher accuracy measures during simulations for mutation assignment to subpopulations, as well as advanced visualization features of assigned mutations. Further documentation and FAQ available at http://dna-discovery.stanford.edu/software/expands.

Noemi Andor

expands

Expanding Ploidy and Allele-Frequency on Nested Subpopulations

simulation function

List with 50 entries - one per simulated sample. Subpopulation composition can be predicted for each sample and the predictions compared to the the simulated entries:snv - the matrix of simulated point mutations (including ground truth columns SP*, PM*). cbs - the matrix of simulated copy number segments (including ground truth columns SP*). spstats - matrix of subpopulation statistics (ground truth).

simulation: Simulated heterogeneous samples

Description

Usage

Arguments

format

Examples