Unknown

Dataset Information

0

Testing Multispecies Coalescent Simulators Using Summary Statistics.


ABSTRACT: As genomic-scale datasets motivate research on species tree inference, simulators of the multispecies coalescent (MSC) process have become essential for the testing and evaluation of new inference methods. However, the simulators themselves must be tested to ensure that they give valid samples. This work develops methods for checking whether a collection of gene trees is in accord with the MSC model on a given species tree. When applied to well-known simulators, we find that several give flawed samples. The tests presented are capable of validating both topological and metric properties of gene tree samples, and are implemented in a freely available R package MSCsimtester so that developers and users may easily apply them.

SUBMITTER: Allman ES 

PROVIDER: S-EPMC10183998 | biostudies-literature | 2023 Mar-Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Testing Multispecies Coalescent Simulators Using Summary Statistics.

Allman Elizabeth S ES   Banos Hector H   Rhodes John A JA  

IEEE/ACM transactions on computational biology and bioinformatics 20230301 2


As genomic-scale datasets motivate research on species tree inference, simulators of the multispecies coalescent (MSC) process have become essential for the testing and evaluation of new inference methods. However, the simulators themselves must be tested to ensure that they give valid samples. This work develops methods for checking whether a collection of gene trees is in accord with the MSC model on a given species tree. When applied to well-known simulators, we find that several give flawed  ...[more]

Similar Datasets

| S-EPMC8220802 | biostudies-literature
| S-EPMC9892699 | biostudies-literature
| S-EPMC6956792 | biostudies-literature
| S-EPMC9366188 | biostudies-literature
| S-EPMC5320999 | biostudies-other
| S-EPMC6092125 | biostudies-literature
| S-EPMC3443116 | biostudies-literature
| S-EPMC6109640 | biostudies-literature
| S-EPMC5860182 | biostudies-literature
| S-EPMC5714448 | biostudies-literature