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Institution

University of Connecticut

EducationStorrs, Connecticut, United States
About: University of Connecticut is a education organization based out in Storrs, Connecticut, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 35297 authors who have published 81224 publications receiving 2952682 citations. The organization is also known as: UConn & Storrs Agricultural School.


Papers
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Journal ArticleDOI
Anshul Kundaje1, Wouter Meuleman2, Wouter Meuleman1, Jason Ernst3, Misha Bilenky4, Angela Yen1, Angela Yen2, Alireza Heravi-Moussavi4, Pouya Kheradpour2, Pouya Kheradpour1, Zhizhuo Zhang2, Zhizhuo Zhang1, Jianrong Wang2, Jianrong Wang1, Michael J. Ziller2, Viren Amin5, John W. Whitaker, Matthew D. Schultz6, Lucas D. Ward2, Lucas D. Ward1, Abhishek Sarkar1, Abhishek Sarkar2, Gerald Quon2, Gerald Quon1, Richard Sandstrom7, Matthew L. Eaton1, Matthew L. Eaton2, Yi-Chieh Wu1, Yi-Chieh Wu2, Andreas R. Pfenning2, Andreas R. Pfenning1, Xinchen Wang2, Xinchen Wang1, Melina Claussnitzer2, Melina Claussnitzer1, Yaping Liu1, Yaping Liu2, Cristian Coarfa5, R. Alan Harris5, Noam Shoresh2, Charles B. Epstein2, Elizabeta Gjoneska2, Elizabeta Gjoneska1, Danny Leung8, Wei Xie8, R. David Hawkins8, Ryan Lister6, Chibo Hong9, Philippe Gascard9, Andrew J. Mungall4, Richard A. Moore4, Eric Chuah4, Angela Tam4, Theresa K. Canfield7, R. Scott Hansen7, Rajinder Kaul7, Peter J. Sabo7, Mukul S. Bansal2, Mukul S. Bansal10, Mukul S. Bansal1, Annaick Carles4, Jesse R. Dixon8, Kai How Farh2, Soheil Feizi2, Soheil Feizi1, Rosa Karlic11, Ah Ram Kim2, Ah Ram Kim1, Ashwinikumar Kulkarni12, Daofeng Li13, Rebecca F. Lowdon13, Ginell Elliott13, Tim R. Mercer14, Shane Neph7, Vitor Onuchic5, Paz Polak15, Paz Polak2, Nisha Rajagopal8, Pradipta R. Ray12, Richard C Sallari1, Richard C Sallari2, Kyle Siebenthall7, Nicholas A Sinnott-Armstrong1, Nicholas A Sinnott-Armstrong2, Michael Stevens13, Robert E. Thurman7, Jie Wu16, Bo Zhang13, Xin Zhou13, Arthur E. Beaudet5, Laurie A. Boyer1, Philip L. De Jager2, Philip L. De Jager15, Peggy J. Farnham17, Susan J. Fisher9, David Haussler18, Steven J.M. Jones4, Steven J.M. Jones19, Wei Li5, Marco A. Marra4, Michael T. McManus9, Shamil R. Sunyaev15, Shamil R. Sunyaev2, James A. Thomson20, Thea D. Tlsty9, Li-Huei Tsai1, Li-Huei Tsai2, Wei Wang, Robert A. Waterland5, Michael Q. Zhang21, Lisa Helbling Chadwick22, Bradley E. Bernstein2, Bradley E. Bernstein6, Bradley E. Bernstein15, Joseph F. Costello9, Joseph R. Ecker11, Martin Hirst4, Alexander Meissner2, Aleksandar Milosavljevic5, Bing Ren8, John A. Stamatoyannopoulos7, Ting Wang13, Manolis Kellis2, Manolis Kellis1 
19 Feb 2015-Nature
TL;DR: It is shown that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease.
Abstract: The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.

5,037 citations

Journal ArticleDOI
TL;DR: In this article, the authors reconceptualize the firm-level construct absorptive capacity as a learning dyad-level measure, relative absorptive capacities, and test the model using a sample of pharmaceutical-biotechnology R&D alliances.
Abstract: Much of the prior research on interorganizational learning has focused on the role of absorptive capacity, a firm's ability to value, assimilate, and utilize new external knowledge. However, this definition of the construct suggests that a firm has an equal capacity to learn from all other organizations. We reconceptualize the firm-level construct absorptive capacity as a learning dyad-level construct, relative absorptive capacity. One firm's ability to learn from another firm is argued to depend on the similarity of both firms' (1) knowledge bases, (2) organizational structures and compensation policies, and (3) dominant logics. We then test the model using a sample of pharmaceutical–biotechnology R&D alliances. As predicted, the similarity of the partners' basic knowledge, lower management formalization, research centralization, compensation practices, and research communities were positively related to interorganizational learning. The relative absorptive capacity measures are also shown to have greater explanatory power than the established measure of absorptive capacity, R&D spending. © 1998 John Wiley & Sons, Ltd.

4,627 citations

Journal ArticleDOI
TL;DR: In this paper, a maximum likelihood estimator is developed for determining time delay between signals received at two spatially separated sensors in the presence of uncorrelated noise, where the role of the prefilters is to accentuate the signal passed to the correlator at frequencies for which the signal-to-noise (S/N) ratio is highest and suppress the noise power.
Abstract: A maximum likelihood (ML) estimator is developed for determining time delay between signals received at two spatially separated sensors in the presence of uncorrelated noise. This ML estimator can be realized as a pair of receiver prefilters followed by a cross correlator. The time argument at which the correlator achieves a maximum is the delay estimate. The ML estimator is compared with several other proposed processors of similar form. Under certain conditions the ML estimator is shown to be identical to one proposed by Hannan and Thomson [10] and MacDonald and Schultheiss [21]. Qualitatively, the role of the prefilters is to accentuate the signal passed to the correlator at frequencies for which the signal-to-noise (S/N) ratio is highest and, simultaneously, to suppress the noise power. The same type of prefiltering is provided by the generalized Eckart filter, which maximizes the S/N ratio of the correlator output. For low S/N ratio, the ML estimator is shown to be equivalent to Eckart prefiltering.

4,317 citations

Journal ArticleDOI
TL;DR: The importance of using 'reference' sites to assess the true richness and composition of species assemblages, to measure ecologically significant ratios between unrelated taxa, toMeasure taxon/sub-taxon (hierarchical) ratios, and to 'calibrate' standardized sampling methods is discussed.
Abstract: Both the magnitude and the urgency of the task of assessing global biodiversity require that we make the most of what we know through the use of estimation and extrapolation. Likewise, future biodiversity inventories need to be designed around the use of effective sampling and estimation procedures, especially for 'hyperdiverse' groups of terrestrial organisms, such as arthropods, nematodes, fungi, and microorganisms. The challenge of estimating patterns of species richness from samples can be separated into (i) the problem of estimating local species richness, and (ii) the problem of estimating the distinctness, or complementarity, of species assemblages. These concepts apply on a wide range of spatial, temporal, and functional scales. Local richness can be estimated by extrapolating species accumulation curves, fitting parametric distributions of relative abundance, or using non-parametric techniques based on the distribution of individuals among species or of species among samples. We present several of these methods and examine their effectiveness for an example data set. We present a simple measure of complementarity, with some biogeographic examples, and outline the difficult problem of estimating complementarity from samples. Finally, we discuss the importance of using 'reference' sites (or sub-sites) to assess the true richness and composition of species assemblages, to measure ecologically significant ratios between unrelated taxa, to measure taxon/sub-taxon (hierarchical) ratios, and to 'calibrate' standardized sampling methods. This information can then be applied to the rapid, approximate assessment of species richness and faunal or floral composition at 'comparative' sites.

4,245 citations

Book
01 Jan 1999
TL;DR: In this paper, the authors present a theory of intergroup relations from visiousness to viciousness, and the psychology of group dominance, as well as the dynamics of the criminal justice system.
Abstract: Part I. From There to Here - Theoretical Background: 1. From visiousness to viciousness: theories of intergroup relations 2. Social dominance theory as a new synthesis Part II. Oppression and its Psycho-Ideological Elements: 3. The psychology of group dominance: social dominance orientation 4. Let's both agree that you're really stupid: the power of consensual ideology Part III. The Circle of Oppression - The Myriad Expressions of Institutional Discrimination: 5. You stay in your part of town and I'll stay in mine: discrimination in the housing and retail markets 6. They're just too lazy to work: discrimination in the labor market 7. They're just mentally and physically unfit: discrimination in education and health care 8. The more of 'them' in prison, the better: institutional terror, social control and the dynamics of the criminal justice system Part IV. Oppression as a Cooperative Game: 9. Social hierarchy and asymmetrical group behavior: social hierarchy and group difference in behavior 10. Sex and power: the intersecting political psychologies of patriarchy and empty-set hierarchy 11. Epilogue.

3,970 citations


Authors

Showing all 35666 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Richard A. Flavell2311328205119
Ralph Weissleder1841160142508
Eric J. Nestler178748116947
David L. Kaplan1771944146082
Masayuki Yamamoto1711576123028
Mark Gerstein168751149578
Marc A. Pfeffer166765133043
Carl W. Cotman165809105323
Murray F. Brennan16192597087
Alfred L. Goldberg15647488296
Xiang Zhang1541733117576
Hakon Hakonarson152968101604
Christopher P. Cannon1511118108906
James M. Wilson150101078686
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023129
2022552
20214,491
20204,342
20193,789
20183,498