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20112015
most citedEfficient computation of the joint sample frequency spectra for multiple populations

76 citations · 125 across the 3 of their papers we have counts for

collaborators

5 papers

q-bio.PE2015

Two-Locus Likelihoods under Variable Population Size and Fine-Scale Recombination Rate Estimation

John A. Kamm, Jeffrey P. Spence, Jeffrey Chan +1

Two-locus sampling probabilities have played a central role in devising an efficient composite likelihood method for estimating fine-scale recombination rates. Due to mathematical…

q-bio.PE2015★ 48 cited

The site frequency spectrum for general coalescents

Jeffrey P. Spence, John A. Kamm, Yun S. Song

General genealogical processes such as - and -coalescents, which respectively model multiple and simultaneous mergers, have important applications in studying marine species,…

math.PR2015★ 76 cited

Efficient computation of the joint sample frequency spectra for multiple populations

John A. Kamm, Jonathan Terhorst, Yun S. Song

A wide range of studies in population genetics have employed the sample frequency spectrum (SFS), a summary statistic which describes the distribution of mutant alleles at a polymo…

q-bio.PE2014★ 1 cited

Decoding coalescent hidden Markov models in linear time

Kelley Harris, Sara Sheehan, John A. Kamm +1

In many areas of computational biology, hidden Markov models (HMMs) have been used to model local genomic features. In particular, coalescent HMMs have been used to infer ancient p…

math.PR2011

Approximate sampling formulae for general finite-alleles models of mutation

Anand Bhaskar, John A. Kamm, Yun S. Song

Many applications in genetic analyses utilize sampling distributions, which describe the probability of observing a sample of DNA sequences randomly drawn from a population. In the…