Results 51 to 60 of about 8,031,804 (248)

Population genomics reveals evolution and variation of Saccharomyces cerevisiae in the human and insects gut [PDF]

, 2019
The quest to discover the variety of ecological niches inhabited by Saccharomyces cerevisiae has led to research in areas as diverse as wineries, oak trees, and insect guts.
Berná, Luisa, Cavalieri, Duccio, Dapporto, Leonardo, De Filippo, Carlotta, Di Paola, Monica, Lenucci, Marcello S., Lionetti, Paolo, Ramazzotti, Matteo, Rivero, Damariz, Rizzetto, Lisa, Stefanini, Irene, Tocci, Noemi, Weil, Tobias   +12 more
core   +1 more source

Population genomics of marine zooplankton [PDF]

, 2017
Author Posting. © The Author(s), 2017. This is the author's version of the work. It is posted here for personal use, not for redistribution. The definitive version was published in Bucklin, Ann et al.
A Biscontin, A Bucklin, A Bucklin, A Bucklin, A Bucklin, A Bucklin, A Bucklin, A Bucklin, A Bucklin, A Cornils, A Levasseur, A Weydmann, A Whitehead, AA Ramos, AA Thabet, AB Kohn, AE Maas, AM Reitzel, AM Tarrant, AR Longhurst, B Meyer, B Miller, B Nilsson, B Planque, B Young de, BE Deagle, BK Peterson, BR Foley, BY Lee, C Castellani, C Hahn, C Lauritano, C Papetti, C Papot, C Pittà De, C Riginos, C Schlötterer, C Schunter, C Sun, C Sun, C Vargas de, CC Caudill, CD Prokopowich, CDH Sherman, CE Lee, CE Lee, CL Ames, CR Voolstra, D Abad, D Papillon, D-S Hwang, DE Schindel, DL Crawford, DN Kulagin, DO Hessen, DPL Toews, E Bortolotto, E Faure, E Goetze, E Goetze, E Goetze, E Hodges, E Kayal, E Petkeviciute, E Unal, EE Nielsen, EJ Yang, EJH Head, EL Norton, EM Rasch, F Alberto, F Carlotti, F Denoeud, F Dufresne, F Li, F Marlétaz, FS Barreto, G Beaugrand, G Chen, G Chen, G Chust, G Drillet, G Luikart, G Sales, G Tsagkogeorga, GA Wyngaard, GA Wyngaard, GA Wyngaard, Genome 10K Community of Scientists, GH Pogson, GIGA Community of Scientists, H Ellegren, H Miyamoto, H Miyamoto, HM Bik, HM Galindo, HP Leinaas, HR Skjoldal, HS Kim, HS Kim, HY Koh, I Smolina, I Smolina, I Smolina, i5K Consortium, IA McLaren, IA McLaren, IG Romero, J Bailey, J Hemmer-Hansen, J Hirai, J Hirai, J Provan, J Rahlff, J Stapley, JC Avise, JC Avise, JC Havird, JE Bron, Jennifer Marie Questel, JF O’Grady, JF Ryan, JK Pearman, JL Davey, JS Ki, JS Ki, JT Kool, JY Toullec, K Alfsnes, K Ogoh, K Stopar, K Wang, K Weersing, KG Helfenbein, KM Johnson, KR Andrews, KTCA Peijnenburg, KTCA Peijnenburg, KTCA Peijnenburg, KTCA Peijnenburg, L Blanco-Bercial, L Blanco-Bercial, L Excoffier, L Excoffier, L Zane, L Zane, L Zane, Leocadio Blanco-Bercial, LL Knowles, LL Moroz, LN Papadopoulos, M Baratti, M Choquet, M Foll, M Iacchei, M Kuriyama, M Lechner, M Leray, M Omori, M-A Madoui, ME Cristescu, ME Hellberg, MM Hansen, MN Dawson, MR Jones, MS Clark, N Bierne, N Bierne, NA Baird, NK Jue, NW Jeffery, NW Jeffery, NW Jeffery, O Savolainen, ONS Aarbakke, ONS Aarbakke, P Beerli, P Gayral, P Li, P Wit De, P Wit De, PA Gagnaire, PA Gagnaire, PD Rawson, PG Batta-Lona, PG Batta-Lona, PH Lenz, PH Wiebe, PH Wiebe, PH Wiebe, PJ Milligan, PK Lindeque, PM Jepsen, PW Hedrick, R Ekblom, R Escribano, R Saborowski, RJ Elshire, RJ Machida, RJ Pereira, RJ Pereira, RK Cowen, RS Burton, RS Burton, RS Waples, RS Waples, S Bolte, S Edmands, S Eyun, S Falk-Petersen, S Kang, S Kim, S Kim, S Kollias, S Laakmann, S Raisuddin, S Renaut, S Wang, S Wei, SA Levin, SD Schoville, SJ Helyar, SM Bybee, SM Francisco, SN Jarman, SO Jung, SR Narum, T Maricic, TA Elliott, TG Lima, TM McGovern, Tomaso Patarnello, TR Gregory, TR Gregory, V Brekhman, V Siegel, W Minxiao, W Pett, WC Black, X Shen, X Shen, Y Li, Z Shao   +242 more
core   +1 more source

Is ‘likely pathogenic’ really 90% likely? Reclassification data in ClinVar

Genome Medicine, 2019
In 2015, professional guidelines defined the term ‘likely pathogenic’ to mean with a 90% chance of pathogenicity. To determine whether current practice reflects this definition, ClinVar classifications were tracked from 2016 to 2019.
Steven M. Harrison, Heidi L. Rehm
doaj   +1 more source

Determining the quality and complexity of next-generation sequencing data without a reference genome [PDF]

, 2014
Genomics, epigenetics, population genetics and ...
Irina Pulyakhina, Jeroen FJ Laros, Johan T den Dunnen, Ken Kraaijeveld, Lusine Khachatryan, Martijn Vermaat, Michiel van Galen, Peter AC ’t Hoen, Peter de Knijff, Seyed Yahya Anvar, Yavuz Ariyurek   +10 more
core   +2 more sources

Population Genomics: Ageing by Association [PDF]

Current Biology, 2002
Mutations in the gene Klotho lead to premature ageing in mice. Recent work on human genetic variation has identified an association between a particular allele of Klotho and human lifespan. A harbinger of things to come, this work illustrates the power and growth potential for association studies of human ageing.
Pletcher, Scott D, Stumpf, Michael P.H
openaire   +2 more sources

Remapping of the belted phenotype in cattle on BTA3 identifies a multiplication event as the candidate causal mutation

Genetics Selection Evolution, 2018
Background It has been known for almost a century that the belted phenotype in cattle follows a pattern of dominant inheritance. In 2009, the approximate position of the belt locus in Brown Swiss cattle was mapped to a 922-kb interval on bovine ...
Sophie Rothammer, Elisabeth Kunz, Stefan Krebs, Fanny Bitzer, Andreas Hauser, Natalia Zinovieva, Nikolai Klymiuk, Ivica Medugorac   +7 more
doaj   +1 more source

Statistical Population Genomics

, 2020
This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including ...
openaire   +3 more sources

Population Genomics of Human Adaptation [PDF]

Annual Review of Ecology, Evolution, and Systematics, 2013
Recent advances in genotyping technologies have facilitated genome-wide scans for natural selection. Detecting targets of natural selection sheds light on human evolution and it can help identify genetic variants that influence normal human phenotypic variation as well as disease susceptibility.
Joseph, Lachance, Sarah A, Tishkoff
openaire   +2 more sources

Inference of Bacterial Pathogen Instantaneous Population Growth Dynamics

Molecular Plant-Microbe Interactions, 2020
Although bacterial host colonization is a dynamic process that requires population growth, studies often focus on comparing bacterial populations at a given time point. However, this may not reflect the dynamics of the colonization process.
Anne Sicard, Andreina I. Castillo, Michael Voeltz, Hongyu Chen, Adam R. Zeilinger, Leonardo De La Fuente, Rodrigo P. P. Almeida   +6 more
doaj   +1 more source

Population genomics in neglected malaria parasites

Frontiers in Microbiology, 2022
Malaria elimination includes neglected human malaria parasites Plasmodium vivax, Plasmodium ovale spp., and Plasmodium malariae. Biological features such as association with low-density infection and the formation of hypnozoites responsible for relapse ...
Awtum M. Brashear, Liwang Cui
doaj   +1 more source