 Connection
David Pollock to Likelihood Functions
This is a "connection" page, showing publications David Pollock has written about Likelihood Functions.
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Connection Strength |
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0.729 |
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de Koning AP, Gu W, Pollock DD. Rapid likelihood analysis on large phylogenies using partial sampling of substitution histories. Mol Biol Evol. 2010 Feb; 27(2):249-65.
Score: 0.326
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Faith JJ, Pollock DD. Likelihood analysis of asymmetrical mutation bias gradients in vertebrate mitochondrial genomes. Genetics. 2003 Oct; 165(2):735-45.
Score: 0.216
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Raina SZ, Faith JJ, Disotell TR, Seligmann H, Stewart CB, Pollock DD. Evolution of base-substitution gradients in primate mitochondrial genomes. Genome Res. 2005 May; 15(5):665-73.
Score: 0.060
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Krishnan NM, Seligmann H, Stewart CB, De Koning AP, Pollock DD. Ancestral sequence reconstruction in primate mitochondrial DNA: compositional bias and effect on functional inference. Mol Biol Evol. 2004 Oct; 21(10):1871-83.
Score: 0.057
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Pollock DD, Bruno WJ. Assessing an unknown evolutionary process: effect of increasing site-specific knowledge through taxon addition. Mol Biol Evol. 2000 Dec; 17(12):1854-8.
Score: 0.044
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Shaffer HB, Minx P, Warren DE, Shedlock AM, Thomson RC, Valenzuela N, Abramyan J, Amemiya CT, Badenhorst D, Biggar KK, Borchert GM, Botka CW, Bowden RM, Braun EL, Bronikowski AM, Bruneau BG, Buck LT, Capel B, Castoe TA, Czerwinski M, Delehaunty KD, Edwards SV, Fronick CC, Fujita MK, Fulton L, Graves TA, Green RE, Haerty W, Hariharan R, Hernandez O, Hillier LW, Holloway AK, Janes D, Janzen FJ, Kandoth C, Kong L, de Koning AP, Li Y, Literman R, McGaugh SE, Mork L, O'Laughlin M, Paitz RT, Pollock DD, Ponting CP, Radhakrishnan S, Raney BJ, Richman JM, St John J, Schwartz T, Sethuraman A, Spinks PQ, Storey KB, Thane N, Vinar T, Zimmerman LM, Warren WC, Mardis ER, Wilson RK. The western painted turtle genome, a model for the evolution of extreme physiological adaptations in a slowly evolving lineage. Genome Biol. 2013 Mar 28; 14(3):R28.
Score: 0.026
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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