Exact calculation of the expected SFS in structured populations
Armando ArredondoiD, Josué M. CorujoiD, Camille NoûsiD, Simon BoitardiD, Lounès ChikhiiD, Olivier MazetiD
Abstract
The Site Frequency Spectrum (SFS), summary statistic of the distribution of derived allele frequencies in a sample of DNA sequences, provides information about genetic variation and can be used to make population inferences. The exact calculation of the expected SFS in panmictic population has been derived in the Markovian coalescent theory for decades, but its generalization to the structured coalescent is hampered by the almost exponential growth of the states space. We propose here a complete algorithmic procedure, from how to build a suitable state space and sort it, to how to take advantage of the sparsity of the rate matrix and to solve numerically the linear system by an iterative method. The simplest case of the symmetrical n-island is then processed to arrive at a ready-to-use demographic parameters inference framework.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 23th percentile
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Fast and accurate approximation of the joint site frequency spectrum of multiple populations
Ethan M. Jewett·bioRxiv·May 1, 2020
- Inductive determination of allele frequency spectrum probabilities in structured populations
M. K. Uyenoyama, N. Takebayashi, S. Kumagai·bioRxiv·Oct 26, 2018
- Geometry of the sample frequency spectrum and the perils of demographic inference
Z. Rosen, A. Bhaskar, … Y. S. Song·bioRxiv·Dec 13, 2017
- Full likelihood inference from the site frequency spectrum based on the optimal tree resolution
Raazesh Sainudiin, Amandine Véber·Theoretical Population BiologyPeer-reviewed·Jul 23, 2018
- Non-Parametric Estimation Of Population Size Changes From The Site Frequency Spectrum
Berit Lindum Waltoft, Asger Hobolth·Statistical Applications in Genetics and Molecular BiologyPeer-reviewed·Jun 1, 2018
- The Site Frequency Spectrum under Finite and Time-Varying Mutation Rates
Andrew Melfi, Divakar Viswanath·bioRxiv·Jul 24, 2018