Coalescent: an open-source and scalable framework for exact calculations in coalescent theory

[1] Felsenstein J(1999)Likelihoods on coalescents: a monte carlo sampling approach to inferring parameters from population samples of molecular data Statistics in molecular biology and genetics, IMS Lecture Notes - Monograph Series 33 163-185

[2] Kuhner MK(2008)BioJava: an open-source framework for bioinformatics Bioinformatics 24–18 2096-2097

[3] Yamato J(2010)MSMS: a coalescent simulation program including recombination, demographic structure and selection at a single locus Bioinformatics 26 2064-2065

[4] Beerli P(2006)Counting all possible ancestral configurations of sample sequences in population genetics IEEE/ACM Trans Comput Biol Bioinform 3 239-251

[5] Holland RCG(2008)Accurate computation of likelihoods in the coalescent with recombination via parsimony Lecture Notes in Computer Science 4955 463-477

[6] Down T(2009)Exact computation of coalescent likelihood for panmictic and subdivided populations under the infinite sites model IEEE Transactions On Computational Biology And Bioinformatics 7 611-618

[7] Pocock M(2008)Importance sampling for the infinite sites model Stat Appl Genet Mol Biol 7 Article32-28

[8] Prlić A(1991)Efficient algorithms for inferring evolutionary trees Networks 21 19-164

[9] Huen D(1985)Statistical properties of the number of recombination events in the history of a sample of DNA sequences Genetics 111 147-undefined

[10] James K(undefined)undefined undefined undefined undefined-undefined

[1] Felsenstein J(1999)Likelihoods on coalescents: a monte carlo sampling approach to inferring parameters from population samples of molecular data Statistics in molecular biology and genetics, IMS Lecture Notes - Monograph Series 33 163-185

[2] Kuhner MK(2008)BioJava: an open-source framework for bioinformatics Bioinformatics 24–18 2096-2097

[3] Yamato J(2010)MSMS: a coalescent simulation program including recombination, demographic structure and selection at a single locus Bioinformatics 26 2064-2065

[4] Beerli P(2006)Counting all possible ancestral configurations of sample sequences in population genetics IEEE/ACM Trans Comput Biol Bioinform 3 239-251

[5] Holland RCG(2008)Accurate computation of likelihoods in the coalescent with recombination via parsimony Lecture Notes in Computer Science 4955 463-477

[6] Down T(2009)Exact computation of coalescent likelihood for panmictic and subdivided populations under the infinite sites model IEEE Transactions On Computational Biology And Bioinformatics 7 611-618

[7] Pocock M(2008)Importance sampling for the infinite sites model Stat Appl Genet Mol Biol 7 Article32-28

[8] Prlić A(1991)Efficient algorithms for inferring evolutionary trees Networks 21 19-164

[9] Huen D(1985)Statistical properties of the number of recombination events in the history of a sample of DNA sequences Genetics 111 147-undefined

[10] James K(undefined)undefined undefined undefined undefined-undefined