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Institution

University of Missouri

EducationColumbia, Missouri, United States
About: University of Missouri is a education organization based out in Columbia, Missouri, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 41427 authors who have published 83598 publications receiving 2911437 citations. The organization is also known as: Mizzou & Missouri-Columbia.


Papers
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Journal ArticleDOI
TL;DR: The literature on empathy, primarily from counseling and psychotherapy and secondarily from social and developmental psychology, is reviewed in this paper, where Obstacles that may account for theoretical confusions and empirical difficulties in studying empathy are highlighted.
Abstract: The literature on empathy, primarily from counseling and psychotherapy and secondarily from social and developmental psychology, is reviewed. Obstacles that may account for theoretical confusions and empirical difficulties in studying empathy are highlighted. The decrease in empathy research in recent years appears attributable to the lack of clear focus and effective research tools as well as the shift in interest from empathy to other concepts such as the working alliance. It is argued that there is a need to return to studying empathy. Researchers should distinguish between dispositional and experiential empathy and between intellectual empathy and empathic emotions and indicate whether they are examining therapist or client experience of empathy. Suggestions for future research are offered.

650 citations

Journal ArticleDOI
21 May 2004-Science
TL;DR: This work identified four genetic clusters, which predominantly contained breeds with similar geographic origin, morphology, or role in human activities, which will aid studies of the genetics of phenotypic breed differences.
Abstract: We used molecular markers to study genetic relationships in a diverse collection of 85 domestic dog breeds. Differences among breeds accounted for approximately 30% of genetic variation. Microsatellite genotypes were used to correctly assign 99% of individual dogs to breeds. Phylogenetic analysis separated several breeds with ancient origins from the remaining breeds with modern European origins. We identified four genetic clusters, which predominantly contained breeds with similar geographic origin, morphology, or role in human activities. These results provide a genetic classification of dog breeds and will aid studies of the genetics of phenotypic breed differences.

650 citations

Journal ArticleDOI
TL;DR: The authors analyzed the long-run relationship between the world price of crude oil and international stock markets over 1971:1-2008:3 using a cointegrated vector error correction model with additional regressors.

650 citations

Journal ArticleDOI
Arang Rhie1, Shane A. McCarthy2, Shane A. McCarthy3, Olivier Fedrigo4, Joana Damas5, Giulio Formenti4, Sergey Koren1, Marcela Uliano-Silva6, William Chow3, Arkarachai Fungtammasan, J. H. Kim7, Chul Hee Lee7, Byung June Ko7, Mark Chaisson8, Gregory Gedman4, Lindsey J. Cantin4, Françoise Thibaud-Nissen1, Leanne Haggerty9, Iliana Bista3, Iliana Bista2, Michelle Smith3, Bettina Haase4, Jacquelyn Mountcastle4, Sylke Winkler10, Sylke Winkler11, Sadye Paez4, Jason T. Howard, Sonja C. Vernes12, Sonja C. Vernes10, Sonja C. Vernes13, Tanya M. Lama14, Frank Grützner15, Wesley C. Warren16, Christopher N. Balakrishnan17, Dave W Burt18, Jimin George19, Matthew T. Biegler4, David Iorns, Andrew Digby, Daryl Eason, Bruce C. Robertson20, Taylor Edwards21, Mark Wilkinson22, George F. Turner23, Axel Meyer24, Andreas F. Kautt25, Andreas F. Kautt24, Paolo Franchini24, H. William Detrich26, Hannes Svardal27, Hannes Svardal28, Maximilian Wagner29, Gavin J. P. Naylor30, Martin Pippel10, Milan Malinsky31, Milan Malinsky3, Mark Mooney, Maria Simbirsky, Brett T. Hannigan, Trevor Pesout32, Marlys L. Houck33, Ann C Misuraca33, Sarah B. Kingan34, Richard Hall34, Zev N. Kronenberg34, Ivan Sović34, Christopher Dunn34, Zemin Ning3, Alex Hastie, Joyce V. Lee, Siddarth Selvaraj, Richard E. Green32, Nicholas H. Putnam, Ivo Gut35, Jay Ghurye36, Erik Garrison32, Ying Sims3, Joanna Collins3, Sarah Pelan3, James Torrance3, Alan Tracey3, Jonathan Wood3, Robel E. Dagnew8, Dengfeng Guan2, Dengfeng Guan37, Sarah E. London38, David F. Clayton19, Claudio V. Mello39, Samantha R. Friedrich39, Peter V. Lovell39, Ekaterina Osipova10, Farooq O. Al-Ajli40, Farooq O. Al-Ajli41, Simona Secomandi42, Heebal Kim7, Constantina Theofanopoulou4, Michael Hiller43, Yang Zhou, Robert S. Harris44, Kateryna D. Makova44, Paul Medvedev44, Jinna Hoffman1, Patrick Masterson1, Karen Clark1, Fergal J. Martin9, Kevin L. Howe9, Paul Flicek9, Brian P. Walenz1, Woori Kwak, Hiram Clawson32, Mark Diekhans32, Luis R Nassar32, Benedict Paten32, Robert H. S. Kraus10, Robert H. S. Kraus24, Andrew J. Crawford45, M. Thomas P. Gilbert46, M. Thomas P. Gilbert47, Guojie Zhang, Byrappa Venkatesh48, Robert W. Murphy49, Klaus-Peter Koepfli50, Beth Shapiro32, Beth Shapiro51, Warren E. Johnson52, Warren E. Johnson50, Federica Di Palma53, Tomas Marques-Bonet, Emma C. Teeling54, Tandy Warnow55, Jennifer A. Marshall Graves56, Oliver A. Ryder33, Oliver A. Ryder57, David Haussler32, Stephen J. O'Brien58, Jonas Korlach34, Harris A. Lewin5, Kerstin Howe3, Eugene W. Myers10, Eugene W. Myers11, Richard Durbin2, Richard Durbin3, Adam M. Phillippy1, Erich D. Jarvis51, Erich D. Jarvis4 
National Institutes of Health1, University of Cambridge2, Wellcome Trust Sanger Institute3, Rockefeller University4, University of California, Davis5, Leibniz Association6, Seoul National University7, University of Southern California8, European Bioinformatics Institute9, Max Planck Society10, Dresden University of Technology11, Radboud University Nijmegen12, University of St Andrews13, University of Massachusetts Amherst14, University of Adelaide15, University of Missouri16, East Carolina University17, University of Queensland18, Clemson University19, University of Otago20, University of Arizona21, Natural History Museum22, Bangor University23, University of Konstanz24, Harvard University25, Northeastern University26, National Museum of Natural History27, University of Antwerp28, University of Graz29, University of Florida30, University of Basel31, University of California, Santa Cruz32, Zoological Society of San Diego33, Pacific Biosciences34, Pompeu Fabra University35, University of Maryland, College Park36, Harbin Institute of Technology37, University of Chicago38, Oregon Health & Science University39, Qatar Airways40, Monash University Malaysia Campus41, University of Milan42, Goethe University Frankfurt43, Pennsylvania State University44, University of Los Andes45, Norwegian University of Science and Technology46, University of Copenhagen47, Agency for Science, Technology and Research48, Royal Ontario Museum49, Smithsonian Institution50, Howard Hughes Medical Institute51, Walter Reed Army Institute of Research52, University of East Anglia53, University College Dublin54, University of Illinois at Urbana–Champaign55, La Trobe University56, University of California, San Diego57, Nova Southeastern University58
28 Apr 2021-Nature
TL;DR: The Vertebrate Genomes Project (VGP) as mentioned in this paper is an international effort to generate high quality, complete reference genomes for all of the roughly 70,000 extant vertebrate species and to help to enable a new era of discovery across the life sciences.
Abstract: High-quality and complete reference genome assemblies are fundamental for the application of genomics to biology, disease, and biodiversity conservation. However, such assemblies are available for only a few non-microbial species1-4. To address this issue, the international Genome 10K (G10K) consortium5,6 has worked over a five-year period to evaluate and develop cost-effective methods for assembling highly accurate and nearly complete reference genomes. Here we present lessons learned from generating assemblies for 16 species that represent six major vertebrate lineages. We confirm that long-read sequencing technologies are essential for maximizing genome quality, and that unresolved complex repeats and haplotype heterozygosity are major sources of assembly error when not handled correctly. Our assemblies correct substantial errors, add missing sequence in some of the best historical reference genomes, and reveal biological discoveries. These include the identification of many false gene duplications, increases in gene sizes, chromosome rearrangements that are specific to lineages, a repeated independent chromosome breakpoint in bat genomes, and a canonical GC-rich pattern in protein-coding genes and their regulatory regions. Adopting these lessons, we have embarked on the Vertebrate Genomes Project (VGP), an international effort to generate high-quality, complete reference genomes for all of the roughly 70,000 extant vertebrate species and to help to enable a new era of discovery across the life sciences.

647 citations

Journal ArticleDOI
TL;DR: Recent advances have provided information on regulation of ARF gene expression, ARF roles in growth and developmental processes, and target genes regulated by ARFs.
Abstract: Auxin response factors (ARFs) are a family of transcription factors that are unique to plants and bind with specificity to auxin response elements (AuxREs) in promoters of primary or early auxin response genes. ARFs have a modular structure with an amino-terminal DNA binding domain, a centralized activation or repression domain, and, in most cases, a carboxy-terminal dimerization domain. The dimerization domain in ARF proteins is related in amino sequence to the dimerization domain in Aux/ IAA proteins. Homotypic and heterotypic interactions can occur between ARF and Aux/IAA protein family members. Recent biochemical and genetic studies suggest that the ARF and Aux/IAA proteins play pivotal and concerted roles in regulating the expression of primary/early auxin-responsive genes.

645 citations


Authors

Showing all 41750 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Meir J. Stampfer2771414283776
Russel J. Reiter1691646121010
Chad A. Mirkin1641078134254
Robert Stone1601756167901
Howard I. Scher151944101737
Rajesh Kumar1494439140830
Joseph T. Hupp14173182647
Lihong V. Wang136111872482
Stephen R. Carpenter131464109624
Jan A. Staessen130113790057
Robert S. Brown130124365822
Mauro Giavalisco12841269967
Kenneth J. Pienta12767164531
Matthew W. Gillman12652955835
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023120
2022532
20213,697
20203,683
20193,339
20183,182