Results 11 to 20 of about 7,668,561 (373)

Molecular Population Genetics [PDF]

Genetics, 2017
AbstractMolecular population genetics aims to explain genetic variation and molecular evolution from population genetics principles. The field was born 50 years ago with the first measures of genetic variation in allozyme loci, continued with the nucleotide sequencing era, and is currently in the era of population genomics.
Casillas, Sònia, Barbadilla, Antonio
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Population Genetics with Fluctuating Population Sizes [PDF]

Journal of Statistical Physics, 2017
Submitted to Journal of Statistical Physics, Special Issue: Dedicated to the Memory of Leo Kadanoff.
Thiparat Chotibut, David R. Nelson
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Molecular Population Genetics [PDF]

Genetics, 2019
In the article by S. Casillas and A. Barbadilla (GENETICS 205: 1003–1035) entitled “Molecular Population Genetics,” on page 1010, the references provided in Table 1 were incomplete. For the measure/test vA, the reference to “Castellano et al.
Matthew W. Hahn
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A structural variation reference for medical and population genetics

Nature, 2020
Structural variants (SVs) rearrange large segments of DNA1 and can have profound consequences in evolution and human disease2,3. As national biobanks, disease-association studies, and clinical genetic testing have grown increasingly reliant on genome ...
Ryan L. Collins, H. Brand, K. Karczewski, Xuefang Zhao, Jessica Alföldi, L. Francioli, A. Khera, Chelsea Lowther, L. Gauthier, Harold Wang, N. Watts, M. Solomonson, Alexander Baumann, Ruchi Munshi, Mark Walker, Christopher W. Whelan, Yongqing Huang, Ted Brookings, Ted Sharpe, M. Stone, E. Valkanas, Jack M. Fu, G. Tiao, Kristen M. Laricchia, Valentín Ruano-Rubio, C. Stevens, N. Gupta, C. Cusick, L. Margolin, Irina M. Armean, E. Banks, Louis Bergelson, K. Cibulskis, K. Connolly, Miguel Covarrubias, Beryl B. Cummings, M. Daly, S. Donnelly, Y. Farjoun, S. Ferriera, S. Gabriel, Jeff Gentry, Thibault Jeandet, D. Kaplan, Christopher Llanwarne, E. Minikel, B. Neale, Sam Novod, A. O’Donnell-Luria, Nikelle Petrillo, T. Poterba, David Roazen, A. Saltzman, K. Samocha, Molly Schleicher, C. Seed, José Soto, Kathleen M. Tibbetts, C. Tolonen, C. Vittal, Gordon Wade, Arcturus Wang, Qingbo S. Wang, J. Ware, B. Weisburd, N. Whiffin, C. Salinas, Tariq Ahmad, C. Albert, D. Ardissino, G. Atzmon, J. Barnard, L. Beaugerie, E. Benjamin, M. Boehnke, L. Bonnycastle, E. Bottinger, D. Bowden, M. Bown, J. Chambers, J. Chan, D. Chasman, Judy H. Cho, M. Chung, Bruce Cohen, A. Correa, D. Dabelea, D. Darbar, R. Duggirala, J. Dupuis, P. Ellinor, R. Elosúa, J. Erdmann, T. Esko, M. Färkkilä, J. Florez, A. Franke, G. Getz, Benjamin Glaser, S. Glatt, David B. Goldstein, Clicerio Gonzalez, L. Groop, Christopher A. Haiman, Craig Hanis, Matthew Harms, M. Hiltunen, M. Holi, C. Hultman, M. Kallela, J. Kaprio, S. Kathiresan, Bong-Jo Kim, Y. J. Kim, G. Kirov, J. Kooner, S. Koskinen, H. Krumholz, S. Kugathasan, S. Kwak, M. Laakso, T. Lehtimäki, R. Loos, S. Lubitz, Ronald C. W. Ma, D. MacArthur, J. Marrugat, K. Mattila, S. Mccarroll, M. McCarthy, D. McGovern, R. McPherson, J. Meigs, O. Melander, A. Metspalu, P. M. Nilsson, M. O’Donovan, D. Öngür, L. Orozco, M. Owen, C. Palmer, A. Palotie, K. Park, C. Pato, A. Pulver, N. Rahman, A. Remes, J. Rioux, S. Ripatti, D. Roden, D. Saleheen, V. Salomaa, N. Samani, J. Scharf, H. Schunkert, M. B. Shoemaker, P. Sklar, H. Soininen, H. Sokol, T. Spector, P. Sullivan, J. Suvisaari, E. Tai, Y. Teo, Tuomi Tiinamaija, Ming Tsuang, D. Turner, Teresa Tusié-Luna, E. Vartiainen, H. Watkins, R. Weersma, M. Wessman, James G. Wilson, R. Xavier, K. Taylor, Henry J. Lin, S. Rich, W. Post, Y. Chen, J. Rotter, C. Nusbaum, A. Philippakis, E. Lander, M. Talkowski   +183 more
semanticscholar   +1 more source

Population Genetics

Definitions, 2020
There are thousands of ebooks available to download legally – either because their copyright has expired, or because their authors have chosen to release them without charge.
Brian Charlesworth, Jeffrey D. Jensen
semanticscholar   +2 more sources

Subclonal reconstruction of tumors using machine learning and population genetics

Nature Genetics, 2020
Most cancer genomic data are generated from bulk samples composed of mixtures of cancer subpopulations, as well as normal cells. Subclonal reconstruction methods based on machine learning aim to separate those subpopulations in a sample and infer their ...
G. Caravagna, Timon Heide, Marc J. Williams, L. Zapata, D. Nichol, K. Chkhaidze, W. Cross, George D. Cresswell, B. Werner, A. Acar, L. Chesler, Chris P. Barnes, G. Sanguinetti, T. Graham, A. Sottoriva   +14 more
semanticscholar   +1 more source

Population genetics of the coral Acropora millepora: Toward genomic prediction of bleaching

Science, 2020
Conservation help from genomics Corals worldwide are under threat from rising sea temperatures and pollution. One response to heat stress is coral bleaching—the loss of photosynthetic endosymbionts that provide energy for the coral. Fuller et al. present
Zachary L. Fuller, V. J. Mocellin, Luke A. Morris, N. Cantin, Jihanne Shepherd, Luke A. Sarre, J. Peng, Yi Liao, Joseph K. Pickrell, P. Andolfatto, M. Matz, L. Bay, M. Przeworski   +12 more
semanticscholar   +1 more source

Spatial Population Genetics: It's About Time [PDF]

Annual Review of Ecology, Evolution and Systematics, 2019
Many important questions about the history and dynamics of organisms have a geographical component: How many are there, and where do they live? How do they move and interbreed across the landscape?
Gideon S. Bradburd, Peter L. Ralph
semanticscholar   +1 more source

In silico characterization of coding and non-coding SNPs of the androgen receptor gene

Informatics in Medicine Unlocked, 2021
The Androgen Receptor (AR), an important ligand-dependent nuclear transcription factor, encoded by the AR gene, functions in regulating the cell proliferation, migration, invasion, and apoptosis pathways. Single nucleotide polymorphisms (SNPs) of AR have
Maisha Adiba, Tonmoy Das, Anik Paul, Ashish Das, Sajib Chakraborty, Md Ismail Hosen, A.H.M. Nurun Nabi   +6 more
doaj   +1 more source

The nk model and population genetics [PDF]

, 2005
The nk model of fitness interactions is examined. This model has been used by previous authors to investigate the effects of fitness epistasis on substitution dynamics in molecular evolution, and to make broader claims about the importance of epistasis ...
Barton, Barton, Bergman, Burch, Coyne, Edmands, Elena, Elena, Felsenstein, Fisher, Fitch, Fontana, Fraser, Gavrilets, Gillespie, Gillespie, Gillespie, Gillespie, Gumbel, Hansen, Hartl, Jeong, Kauffman, Kauffman, Kauffman, Kichler Holder, Kimura, Kimura, Kondrashov, Korona, Lenski, Macken, Mani, Maynard Smith, Moore, Ohta, Ohta, Ohta, Ohta, Orr, Orr, Orr, Peck, Perelson, Phillips, Provine, Schrag, Solow, Stephan, Tachida, Tachida, Weinberger, Welch, Whitlock, Zeng   +54 more
core   +2 more sources