by Dewi H. Alisjahbana, Syndi Nurmawati, Mia Milanti, Hofiya Djauhari, Jeremy P. Ledermann, Ungke Antonjaya, Yora Permata Dewi, Edison Johar, Ageng Wiyatno, Ida Yus Sriyani, Bachti Alisjahbana, Dodi Safari, Khin Saw Aye Myint, Ann M. Powers, Dzulfikar DL Hakim
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by Dandan Gong, Weiyin Lin, Huihua Zhang, Xu Ou, Liya Li, Pengle Guo, Yaozu He, Cong Liu, Weiping Cai, Xiaoping Tang, Linghua Li
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by Sébastien Larréché, Lucie Chevillard, Georges Jourdi, Simon Mathé, Aurélie Servonnet, Bérangère S. Joly, Virginie Siguret, Jean-Philippe Chippaux, Bruno Mégarbane
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by Jason E. Cummings, Christopher S. Lunde, M. R. K. Alley, Richard A. Slayden
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by Tito Tresor Melachio Tanekou, Calmes Ursain Bouaka Tsakeng, Inaki Tirados, Alphonse Acho, Jude Bigoga, Charles Sinclair Wondji, Flobert Njiokou
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by Daniel D. Hodgkiss, Gurjeet S. Bhangu, Carole Lunny, Catherine R. Jutzeler, Shin-Yi Chiou, Matthias Walter, Samuel J. E. Lucas, Andrei V. Krassioukov, Tom E. Nightingale
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by Xinge Jessie Jeng, Yifei Hu, Vaishnavi Venkat, Tzu-Pin Lu, Jung-Ying Tzeng
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by Rachel Queen, Moira Crosier, Lorraine Eley, Janet Kerwin, Jasmin E. Turner, Jianshi Yu, Ahlam Alqahtani, Tamilvendhan Dhanaseelan, Lynne Overman, Hannah Soetjoadi, Richard Baldock, Jonathan Coxhead, Veronika Boczonadi, Alex Laude, Simon J. Cockell, Maureen A. Kane, Steven Lisgo, Deborah J. Henderson
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by Jerome Goudet, Bruce S. Weir
Being able to properly quantify genetic differentiation is key to understanding the evolutionary potential of a species. One central parameter in this context is FST, the mean coancestry within populations relative to the mean coancestry between populations. Researchers have been estimating FST globally or between pairs of populations for a long time. More recently, it has been proposed to estimate population-specific FST values, and population-pair mean relative coancestry. Читать дальше...
by Joel Hallgren, Kira Koonce, Michele Felletti, Julien Mortier, Eloisa Turco, Kristina Jonas
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by Sílvia Chafino, Roser Salvia, Josefa Cruz, David Martín, Xavier Franch-Marro
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by Lianna R. Walker, Hiep L. Vu, Kristi L. Montooth, Daniel C. Ciobanu
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by Jennifer Carlisle Michel, Margaret M. B. Grivette, Amber T. Harshfield, Lisa Huynh, Ava P. Komons, Bradley Loomis, Kaitlan McKinnis, Brennen T. Miller, Ethan Q. Nguyen, Tiffany W. Huang, Sophia Lauf, Elias S. Michel, Mia E. Michel, Jane S. Kissinger, Audrey J. Marsh, William E. Crow, Lila E. Kaye, Abagael M. Lasseigne, Rachel M. Lukowicz-Bedford, Dylan R. Farnsworth, E. Anne Martin, Adam C. Miller
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by Laura B. Chipman, San Luc, Ian A. Nicastro, Jesse J. Hulahan, Delaney C. Dann, Devavrat M. Bodas, Amy E. Pasquinelli
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by Morag A. Lewis, Jennifer Schulte, Lois Matthews, Kenneth I. Vaden Jr., Claire J Steves, Frances M. K. Williams, Bradley A. Schulte, Judy R. Dubno, Karen P. Steel
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by Shih-Che Weng, Igor Antoshechkin, Eric Marois, Omar S. Akbari
Only female mosquitoes consume blood giving them the opportunity to transmit deadly human pathogens. Therefore, it is critical to remove females before conducting releases for genetic biocontrol interventions. Here we describe a robust sex-sorting approach termed SEPARATOR (Sexing Element Produced by Alternative RNA-splicing of A Transgenic Observable Reporter) that exploits sex-specific alternative splicing of an innocuous... Читать дальше...
by Bastiaan R. Van der Roest, Martin C. J. Bootsma, Egil A. J. Fischer, Don Klinkenberg, Mirjam E. E. Kretzschmar
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by Ryan M. Cecil, Lauren A. Sugden
A central challenge in population genetics is the detection of genomic footprints of selection. As machine learning tools including convolutional neural networks (CNNs) have become more sophisticated and applied more broadly, these provide a logical next step for increasing our power to learn and detect such patterns; indeed, CNNs trained on simulated genome sequences have recently been shown to be highly effective at this task. Unlike previous approaches... Читать дальше...
by Arron Bale, Robert Rambo, Christopher Prior
We present fast and simple-to-implement measures of the entanglement of protein tertiary structures which are appropriate for highly flexible structure comparison. These are performed using the SKMT algorithm, a novel method of smoothing the Cα backbone to achieve a minimal complexity curve representation of the manner in which the protein’s secondary structure elements fold to form its tertiary structure. Its subsequent complexity is characterised... Читать дальше...
by Gordon Sun, Christine Hwang, Tony Jung, Jian Liu, Rong Li
Mitochondria are essential and dynamic eukaryotic organelles that must be inherited during cell division. In yeast, mitochondria are inherited asymmetrically based on quality, which is thought to be vital for maintaining a rejuvenated cell population; however, the mechanisms underlying mitochondrial remodeling and segregation during this process are not understood. We used high spatiotemporal imaging to quantify the key aspects of mitochondrial dynamics... Читать дальше...
by Anthony J. Wood, Aeron R. Sanchez, Paul R. Bessell, Rebecca Wightman, Rowland R. Kao
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by Elisabeth K. Brockhaus, Daniel Wolffram, Tanja Stadler, Michael Osthege, Tanmay Mitra, Jonas M. Littek, Ekaterina Krymova, Anna J. Klesen, Jana S. Huisman, Stefan Heyder, Laura M. Helleckes, Matthias an der Heiden, Sebastian Funk, Sam Abbott, Johannes Bracher
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by Hoda Akl, Brooke Emison, Xiaochuan Zhao, Arup Mondal, Alberto Perez, Purushottam D. Dixit
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by Punya Alahakoon, Peter G. Taylor, James M. McCaw
The influenza pandemic of 1918-19 was the most devastating pandemic of the 20th century. It killed an estimated 50–100 million people worldwide. In late 1918, when the severity of the disease was apparent, the Australian Quarantine Service was established. Vessels returning from overseas and inter-state were intercepted, and people were examined for signs of illness and quarantined. Some of these vessels carried the infection throughout... Читать дальше...
by Anna Vicco, Clare P. McCormack, Belen Pedrique, John H. Amuasi, Anthony Afum-Adjei Awuah, Christian Obirikorang, Nicole S. Struck, Eva Lorenz, Jürgen May, Isabela Ribeiro, Gathsaurie Neelika Malavige, Christl A. Donnelly, Ilaria Dorigatti
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