Likelihood analysis with metropolis algorithm using random coalescence
Moreover, LAMARC is a utility for doing Likelihood Analysis with Metropolis Algorithm using Random Coalescence.
LAMARC estimates effective population sizes, population exponential growth rates, a recombination rate, and past migration rates for one to n populations assuming a migration matrix model with asymmetric migration rates and different subpopulation sizes.
In addition, LAMARC can use DNA or RNA sequence data, SNPs, microsatellites, or electrophoretic data.
The LAMARC program can produce: estimates of recombination rate, migration rates between each population pair, population sizes (assuming constant mutation rates among loci), population exponential growth rates, profile likelihood tables, and percentiles.
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What's New in This Release:
- FIXED: lam_conv file converter reversed source and destination populations when using custom migration matrices. If you used a custom matrix to set asymmetrical migration rates in any prior version, you will need to re-convert your files and re-run your analysis. All other results are unaffected.