by Rafael Silva Gama, Márcio Luís Moreira de Souza, Euzenir Nunes Sarno, Milton Ozório de Moraes, Aline Gonçalves, Mariane M. A. Stefani, Raúl Marcel González Garcia, Lucia Alves de Oliveira Fraga
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by Danielle Bittencourt Sodré Barmpas, Denise Leite Maia Monteiro, Stella Regina Taquette, Nádia Cristina Pinheiro Rodrigues, Alexandre José Baptista Trajano, Juliana de Castro Cunha, Camila Lattanzi Nunes, Lucia Helena Cavalheiro Villela, Sérgio A. M. Teixeira, Denise Cardoso das Neves Sztajnbok, Márcio Neves Bóia
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by Sadie J. Ryan, Stephanie J. Mundis, Alex Aguirre, Catherine A. Lippi, Efraín Beltrán, Froilán Heras, Valeria Sanchez, Mercy J. Borbor-Cordova, Rachel Sippy, Anna M. Stewart-Ibarra, Marco Neira
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by Olabimpe Y. Olaide, David P. Tchouassi, Abdullahi A. Yusuf, Christian W. W. Pirk, Daniel K. Masiga, Rajinder K. Saini, Baldwyn Torto
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by Olga Tymejczyk, Ellen Brazier, Constantin T. Yiannoutsos, Michael Vinikoor, Monique van Lettow, Fred Nalugoda, Mark Urassa, Jean d’Amour Sinayobye, Peter F. Rebeiro, Kara Wools-Kaloustian, Mary-Ann Davies, Elizabeth Zaniewski, Nanina Anderegg, Grace Liu, Nathan Ford, Denis Nash, on behalf of the IeDEA consortium
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by Jeannie Bailey, Julie Cass, Joe Gasper, Ngoc-Diep Ngo, Paul Wiggins, Colin Manoil
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by Aaron P. Ragsdale, Simon Gravel
We learn about population history and underlying evolutionary biology through patterns of genetic polymorphism. Many approaches to reconstruct evolutionary histories focus on a limited number of informative statistics describing distributions of allele frequencies or patterns of linkage disequilibrium. We show that many commonly used statistics are part of a broad family of two-locus moments whose expectation can be computed jointly and rapidly under a wide range of scenarios... Читать дальше...
by Yifeng Qi, Bin Zhang
We introduce a computational model to simulate chromatin structure and dynamics. Starting from one-dimensional genomics and epigenomics data that are available for hundreds of cell types, this model enables de novo prediction of chromatin structures at five-kilo-base resolution. Simulated chromatin structures recapitulate known features of genome organization, including the formation of chromatin loops, topologically associating domains (TADs) and compartments, and... Читать дальше...
by Samuel P. Muscinelli, Wulfram Gerstner, Tilo Schwalger
While most models of randomly connected neural networks assume single-neuron models with simple dynamics, neurons in the brain exhibit complex intrinsic dynamics over multiple timescales. We analyze how the dynamical properties of single neurons and recurrent connections interact to shape the effective dynamics in large randomly connected networks. A novel dynamical mean-field theory for strongly connected networks of multi-dimensional... Читать дальше...
by Tong Liu, Tomomi Kuwana, Hongkai Zhang, Matthew G. Vander Heiden, Richard A. Lerner, Donald D. Newmeyer
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by Jessica Garzke, Stephanie J. Connor, Ulrich Sommer, Mary I. O’Connor
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by Haibo Wang, Aixin Yan, Zhigang Liu, Xinming Yang, Zeling Xu, Yuchuan Wang, Runming Wang, Mohamad Koohi-Moghadam, Ligang Hu, Wei Xia, Huiru Tang, Yulan Wang, Hongyan Li, Hongzhe Sun
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by Cody J. Warren, Nicholas R. Meyerson, Obaiah Dirasantha, Emily R. Feldman, Gregory K. Wilkerson, Sara L. Sawyer
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by Dominique Dorin-Semblat, Marilou Tétard, Aurélie Claës, Jean-Philippe Semblat, Sébastien Dechavanne, Zaineb Fourati, Romain Hamelin, Florence Armand, Graziella Matesic, Sofia Nunes-Silva, Anand Srivastava, Stéphane Gangnard, Jose-Juan Lopez-Rubio, Marc Moniatte, Christian Doerig, Artur Scherf, Benoît Gamain
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by Adrien Antkowiak, Audrey Guillotin, Micaela Boiero Sanders, Jessica Colombo, Renaud Vincentelli, Alphée Michelot
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