Institution
University of Arizona
Education•Tucson, Arizona, United States•
About: University of Arizona is a education organization based out in Tucson, Arizona, United States. It is known for research contribution in the topics: Population & Galaxy. The organization has 63805 authors who have published 155998 publications receiving 6854915 citations. The organization is also known as: UA & U of A.
Topics: Population, Galaxy, Star formation, Redshift, Planet
Papers published on a yearly basis
Papers
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TL;DR: This article examined how and when children come to understand the way in which counting determines numerosity and learn the meanings of the number words and found that it takes children a long time (on the order of a year) to learn how the counting system represents numerosity.
777 citations
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TL;DR: This chapter about antithrombotic therapy in atrial fibrillation (AF) is part of the American College of Chest Physicians Evidence-Based Guidelines Clinical Practice Guidelines (8th Edition).
777 citations
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TL;DR: Thousands of genes with significantly lower diversity in cultivated but not wild rice are identified, which represent candidate regions selected during domestication and should be valuable for breeding and for identifying agronomically important genes in rice.
Abstract: Rice is a staple crop that has undergone substantial phenotypic and physiological changes during domestication. Here we resequenced the genomes of 40 cultivated accessions selected from the major groups of rice and 10 accessions of their wild progenitors (Oryza rufipogon and Oryza nivara) to >15 × raw data coverage. We investigated genome-wide variation patterns in rice and obtained 6.5 million high-quality single nucleotide polymorphisms (SNPs) after excluding sites with missing data in any accession. Using these population SNP data, we identified thousands of genes with significantly lower diversity in cultivated but not wild rice, which represent candidate regions selected during domestication. Some of these variants are associated with important biological features, whereas others have yet to be functionally characterized. The molecular markers we have identified should be valuable for breeding and for identifying agronomically important genes in rice.
776 citations
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University of Pittsburgh1, University of California, Irvine2, University of California, Berkeley3, University of California, Santa Cruz4, Alfred P. Sloan Foundation5, University of California, San Diego6, Harvard University7, Max Planck Society8, Lawrence Berkeley National Laboratory9, University of Arizona10, University of Kentucky11, California Institute of Technology12, Goddard Space Flight Center13, Space Telescope Science Institute14, University of Southern California15, University of Washington16, Academia Sinica17, Sonoma State University18, Liverpool John Moores University19
TL;DR: The DEEP2 Galaxy Redshift Survey (DEEP2) as discussed by the authors is the largest high-precision redshift survey of galaxies at z ~ 1 completed to date, covering an area of 2.8 deg^2 divided into four separate fields observed to a limiting apparent magnitude of R_(AB) = 24.1.
Abstract: We describe the design and data analysis of the DEEP2 Galaxy Redshift Survey, the densest and largest high-precision redshift survey of galaxies at z ~ 1 completed to date. The survey was designed to conduct a comprehensive census of massive galaxies, their properties, environments, and large-scale structure down to absolute magnitude M_B = −20 at z ~ 1 via ~90 nights of observation on the Keck telescope. The survey covers an area of 2.8 deg^2 divided into four separate fields observed to a limiting apparent magnitude of R_(AB) = 24.1. Objects with z ≾0.7 are readily identifiable using BRI photometry and rejected in three of the four DEEP2 fields, allowing galaxies with z > 0.7 to be targeted ~2.5 times more efficiently than in a purely magnitude-limited sample. Approximately 60% of eligible targets are chosen for spectroscopy, yielding nearly 53,000 spectra and more than 38,000 reliable redshift measurements. Most of the targets that fail to yield secure redshifts are blue objects that lie beyond z ~ 1.45, where the [O ii] 3727 A doublet lies in the infrared. The DEIMOS 1200 line mm^(−1) grating used for the survey delivers high spectral resolution (R ~ 6000), accurate and secure redshifts, and unique internal kinematic information. Extensive ancillary data are available in the DEEP2 fields, particularly in the Extended Groth Strip, which has evolved into one of the richest multiwavelength regions on the sky. This paper is intended as a handbook for users of the DEEP2 Data Release 4, which includes all DEEP2 spectra and redshifts, as well as for the DEEP2 DEIMOS data reduction pipelines. Extensive details are provided on object selection, mask design, biases in target selection and redshift measurements, the spec2d two-dimensional data-reduction pipeline, the spec1d automated redshift pipeline, and the zspec visual redshift verification process, along with examples of instrumental signatures or other artifacts that in some cases remain after data reduction. Redshift errors and catastrophic failure rates are assessed through more than 2000 objects with duplicate observations. Sky subtraction is essentially photon-limited even under bright OH sky lines; we describe the strategies that permitted this, based on high image stability, accurate wavelength solutions, and powerful B-spline modeling methods. We also investigate the impact of targets that appear to be single objects in ground-based targeting imaging but prove to be composite in Hubble Space Telescope data; they constitute several percent of targets at z ~ 1, approaching ~5%–10% at z > 1.5. Summary data are given that demonstrate the superiority of DEEP2 over other deep high-precision redshift surveys at z ~ 1 in terms of redshift accuracy, sample number density, and amount of spectral information. We also provide an overview of the scientific highlights of the DEEP2 survey thus far.
776 citations
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Monash University1, Kyoto University2, Kindai University3, United States Department of Energy4, Kobe University5, National Institute of Genetics6, Austrian Academy of Sciences7, Nara Institute of Science and Technology8, University of Osnabrück9, Universidad Veracruzana10, University of Cambridge11, CINVESTAV12, University of Oxford13, University of Tennessee14, Plant & Food Research15, Uppsala University16, Institut de recherche pour le développement17, University of Zurich18, University of Tokyo19, Nagoya University20, Okayama University21, National Institutes of Natural Sciences, Japan22, Tohoku University23, University of Kentucky24, Gregor Mendel Institute25, Tokyo University of Agriculture26, National Taiwan University27, Cold Spring Harbor Laboratory28, Autonomous University of Madrid29, University of Arizona30, Max Planck Society31, Tokyo Metropolitan University32, University of Minnesota33, Kumamoto University34, University of Ulm35, Saitama University36
TL;DR: Compared with other sequenced land plants, M. polymorpha exhibits low genetic redundancy in most regulatory pathways, with this portion of its genome resembling that predicted for the ancestral land plant.
774 citations
Authors
Showing all 64388 results
Name | H-index | Papers | Citations |
---|---|---|---|
Simon D. M. White | 189 | 795 | 231645 |
Julie E. Buring | 186 | 950 | 132967 |
David H. Weinberg | 183 | 700 | 171424 |
Richard Peto | 183 | 683 | 231434 |
Xiaohui Fan | 183 | 878 | 168522 |
Dennis S. Charney | 179 | 802 | 122408 |
Daniel J. Eisenstein | 179 | 672 | 151720 |
David Haussler | 172 | 488 | 224960 |
Carlos S. Frenk | 165 | 799 | 140345 |
Jian-Kang Zhu | 161 | 550 | 105551 |
Tobin J. Marks | 159 | 1621 | 111604 |
Todd Adams | 154 | 1866 | 143110 |
Jane A. Cauley | 151 | 914 | 99933 |
Wei Zheng | 151 | 1929 | 120209 |
Daniel L. Schacter | 149 | 592 | 90148 |