scispace - formally typeset
Search or ask a question
Institution

University of Georgia

EducationAthens, Georgia, United States
About: University of Georgia is a education organization based out in Athens, Georgia, United States. It is known for research contribution in the topics: Population & Gene. The organization has 41934 authors who have published 93622 publications receiving 3713212 citations. The organization is also known as: UGA & Franklin College.


Papers
More filters
Journal ArticleDOI
TL;DR: The SAXS pipeline combines automated sample handling of microliter volumes, temperature and anaerobic control, rapid data collection and data analysis, and couples structural analysis with automated archiving to create an efficient pipeline enabling high-throughput analysis of protein structure in solution with small angle X-ray scattering.
Abstract: We present an efficient pipeline enabling high-throughput analysis of protein structure in solution with small angle X-ray scattering (SAXS). Our SAXS pipeline combines automated sample handling of microliter volumes, temperature and anaerobic control, rapid data collection and data analysis, and couples structural analysis with automated archiving. We subjected 50 representative proteins, mostly from Pyrococcus furiosus, to this pipeline and found that 30 were multimeric structures in solution. SAXS analysis allowed us to distinguish aggregated and unfolded proteins, define global structural parameters and oligomeric states for most samples, identify shapes and similar structures for 25 unknown structures, and determine envelopes for 41 proteins. We believe that high-throughput SAXS is an enabling technology that may change the way that structural genomics research is done.

604 citations

Journal ArticleDOI
TL;DR: In this study, moisture content proved to be a dominant factor impacting aerobic microbial activity of the composting blend and the enhancement of composting activities induced by temperature increment could be realized by increasing moisture content alone.

603 citations

01 Jan 2011
TL;DR: Ansel's pharmaceutical dosage forms and drug delivery systems, Ansel's pharmacist-scientist partnership, and other related works.
Abstract: Section I. Introduction to Drugs, Drug Dosage Forms and Drug Delivery Systems Section II. Drug Dosage Form and Grug delivery System Design Section III. Solid Dosage Forms andSolid Modified-Release Drug Delivery Systems Section IV. Semisolid Dosage Form and Transdermal System Section V. Pharmaceutical Insert Section VI. Liquid Dosage Forms Section VII. Sterile Dosage Forms and Delivery Systems Section VIII. Novel and Advanced Dosage Form, Delivery System and Devices

603 citations

Journal ArticleDOI
TL;DR: In this article, the authors compare the effects of reputation and celebrity on the likelihood that a firm announces a positive or negative earnings surprise, and investors' reactions to these surprises, and find that firms that have accumulated high levels of reputation (high-reputation) are less likely, and firms that achieved celebrity (celebrity firms) more likely to announce positive surprises than firms without these assets.
Abstract: The effects of intangible assets on organizational outcomes remain poorly understood. We compare the effects of two intangible assets—firm reputation and celebrity—on (1) the likelihood that a firm announces a positive or negative earnings surprise, and (2) investors’ reactions to these surprises. We find that firms that have accumulated high levels of reputation (“high-reputation” firms) are less likely, and firms that have achieved celebrity (celebrity firms) more likely to announce positive surprises than firms without these assets. Both high-reputation and celebrity firms experience greater market rewards for positive surprises and smaller market penalties for negative surprises than other firms.

602 citations

Journal ArticleDOI
Keith Bradnam, Joseph Fass, Anton Alexandrov, Paul Baranay1, Michael Bechner, Inanc Birol2, Sébastien Boisvert3, Jarrod Chapman4, Guillaume Chapuis5, Guillaume Chapuis6, Rayan Chikhi5, Rayan Chikhi6, Hamidreza Chitsaz7, Wen-Chi Chou8, Jacques Corbeil3, Cristian Del Fabbro, Roderick R. Docking2, Richard Durbin9, Dent Earl10, Scott J. Emrich11, Pavel Fedotov, Nuno A. Fonseca12, Ganeshkumar Ganapathy13, Richard A. Gibbs14, Sante Gnerre15, Elenie Godzaridis3, Steve Goldstein, Matthias Haimel12, Giles Hall15, David Haussler10, Joseph B. Hiatt16, Isaac Ho4, Jason T. Howard13, Martin Hunt9, Shaun D. Jackman2, David B. Jaffe15, Erich D. Jarvis13, Huaiyang Jiang14, Sergey Kazakov, Paul J. Kersey12, Jacob O. Kitzman16, James R. Knight, Sergey Koren17, Tak-Wah Lam18, Dominique Lavenier19, Dominique Lavenier5, Dominique Lavenier6, François Laviolette3, Yingrui Li18, Zhenyu Li, Binghang Liu, Yue Liu14, Ruibang Luo18, Iain MacCallum15, Matthew D. MacManes20, Nicolas Maillet19, Nicolas Maillet6, Sergey Melnikov, Delphine Naquin19, Delphine Naquin6, Zemin Ning9, Thomas D. Otto9, Benedict Paten10, Octávio S. Paulo21, Adam M. Phillippy17, Francisco Pina-Martins21, Michael Place, Dariusz Przybylski15, Xiang Qin14, Carson Qu14, Filipe J. Ribeiro, Stephen Richards14, Daniel S. Rokhsar4, Daniel S. Rokhsar22, J. Graham Ruby23, J. Graham Ruby24, Simone Scalabrin, Michael C. Schatz25, David C. Schwartz, Alexey Sergushichev, Ted Sharpe15, Timothy I. Shaw8, Jay Shendure16, Yujian Shi, Jared T. Simpson9, Henry Song14, Fedor Tsarev, Francesco Vezzi26, Riccardo Vicedomini27, Bruno Vieira21, Jun Wang, Kim C. Worley14, Shuangye Yin15, Siu-Ming Yiu18, Jianying Yuan, Guojie Zhang, Hao Zhang, Shiguo Zhou, Ian F Korf 
TL;DR: The Assemblathon 2 as discussed by the authors presented a variety of sequence data to be assembled for three vertebrate species (a bird, a fish, and a snake) from 21 participating teams.
Abstract: Background: The process of generating raw genome sequence data continues to become cheaper, faster, and more accurate. However, assembly of such data into high-quality, finished genome sequences remains challenging. Many genome assembly tools are available, but they differ greatly in terms of their performance (speed, scalability, hardware requirements, acceptance of newer read technologies) and in their final output (composition of assembled sequence). More importantly, it remains largely unclear how to best assess the quality of assembled genome sequences. The Assemblathon competitions are intended to assess current state-of-the-art methods in genome assembly. Results: In Assemblathon 2, we provided a variety of sequence data to be assembled for three vertebrate species (a bird, a fish, and snake). This resulted in a total of 43 submitted assemblies from 21 participating teams. We evaluated these assemblies using a combination of optical map data, Fosmid sequences, and several statistical methods. From over 100 different metrics, we chose ten key measures by which to assess the overall quality of the assemblies. (Continued on next page)

602 citations


Authors

Showing all 42268 results

NameH-indexPapersCitations
Rob Knight2011061253207
Feng Zhang1721278181865
Zhenan Bao169865106571
Carl W. Cotman165809105323
Yoshio Bando147123480883
Mark Raymond Adams1471187135038
Han Zhang13097058863
Dmitri Golberg129102461788
Godfrey D. Pearlson12874058845
Douglas E. Soltis12761267161
Richard A. Dixon12660371424
Ajit Varki12454258772
Keith A. Johnson12079851034
Gustavo E. Scuseria12065895195
Julian I. Schroeder12031550323
Network Information
Related Institutions (5)
University of California, Davis
180K papers, 8M citations

95% related

University of Florida
200K papers, 7.1M citations

94% related

University of Wisconsin-Madison
237.5K papers, 11.8M citations

94% related

Cornell University
235.5K papers, 12.2M citations

94% related

Pennsylvania State University
196.8K papers, 8.3M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023125
2022542
20214,670
20204,504
20194,098
20183,994