Institution
Oregon State University
Education•Corvallis, Oregon, United States•
About: Oregon State University is a education organization based out in Corvallis, Oregon, United States. It is known for research contribution in the topics: Population & Gene. The organization has 28192 authors who have published 64044 publications receiving 2634108 citations. The organization is also known as: Oregon Agricultural College & OSU.
Topics: Population, Gene, Context (language use), Climate change, Soil water
Papers published on a yearly basis
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TL;DR: The history of microbial evolution in the oceans is probably as old as the history of life itself, but whether microbial plankton populations harbour organisms that are models of adaptive sophistication remains to be seen.
Abstract: The history of microbial evolution in the oceans is probably as old as the history of life itself. In contrast to terrestrial ecosystems, microorganisms are the main form of biomass in the oceans, and form some of the largest populations on the planet. Theory predicts that selection should act more efficiently in large populations. But whether microbial plankton populations harbour organisms that are models of adaptive sophistication remains to be seen. Genome sequence data are piling up, but most of the key microbial plankton clades have no cultivated representatives, and information about their ecological activities is sparse.
546 citations
TL;DR: The recent identification of one class of fluorinated surfactants in groundwater impacted by fire-fighting activity has created an awareness of the potential environmental issues resulting from the firefighting activity as mentioned in this paper.
Abstract: The recent identification of one class of fluorinated surfactants in groundwater impacted by fire-fighting activity has created an awareness of the potential environmental issues resulting from the...
545 citations
01 Jan 1988
TL;DR: Conclusions on Circular Dichroism Spectra for Pure Secondary Structures and Changes in Secondary Structure with Solvent Variation are published.
Abstract: CIRCULAR DICHROISM SPECTROSCOPY .........•.....••......• • 147 Technique .. ...... . . . . .. . . . . . . . . . . . . . . . . . . ...... .... ........ . . . .... 147 Spectrometers.... . . . . . . .... . . . . . . ........ . ...... . . . . . . . . . . . . .... . . . .... . . . ...... . . . . ...... . . . ..... 148 Concentration and Pathlength.. . . . . . . ...... ..... . . . ...... .... ..... . . . .. . . . . ....... .... . . . ... . . . . 149 Noise .. .... . . . . ... . . . . . ....... . . . . . . . . . . . . ... . . ........ ........ ........ . ...... 150 METHODS OF ANALySIS 151 Information Content and Constraints .... . . . . . . . . . . .. . . . .... . ... . . . . ...... ... . ........ . . . . . ... . . 151 Circular Dichroism Spectra for Pure Secondary Structures ...... . . . . . .. . . . . . ... . . . . . . . . . . .. . . . . . 152 Reference Circular Dichroism From Proteins of Known Secondary Structure . . . .... . . . . 154 APPLICATIONS . ......... ..... . . . . . .... . . . . .. . . . ... 159 Analysisfor Secondary Structure......... . . . ..... . . . .. . . . . . ....... .... . . . ....... 159 Proteins With Denatured Circular Dichroism . . . . ..... .. ....... . . . . . . . . .... . 160 Changes in Secondary Structure on Ligand Binding ..... . . . . . . . . . . . . . ... . . . ..... . . ......... 161 Changes in Secondary Structure With Solvent Variation ......... ..... . . ..... . . ..... . ..... . . . ..... 162 Changes in Secondary Structure on Protein Denaturation.... ........ . . . ...... . . .. . . . . . 163 CONCLUSIONS.... ...... ....... ........ 164
545 citations
University of California, Santa Cruz1, National Institutes of Health2, Broad Institute3, University of Los Andes4, University of Guelph5, University of Nottingham6, University of California, Berkeley7, Pennsylvania State University8, Royal Ontario Museum9, Texas A&M University10, Louisiana State University11, Agency for Science, Technology and Research12, University of Kansas13, University of Montana14, American Museum of Natural History15, Oregon State University16, Villanova University17, University of Porto18, Smithsonian Institution19, Oswaldo Cruz Foundation20, Okinawa Institute of Science and Technology21, University of Sheffield22, Harvard University23, Swedish Museum of Natural History24, University of Copenhagen25, Novosibirsk State University26, Australian National University27, Max Planck Society28, Field Museum of Natural History29, Commonwealth Scientific and Industrial Research Organisation30, Science Applications International Corporation31, Stanford University32, University of Illinois at Urbana–Champaign33, George Washington University34, Global Viral35, University of Bedfordshire36, Federal University of Rio de Janeiro37, University of California, Davis38, University of California, Riverside39, Museum Victoria40, University College Dublin41, Monterey Bay Aquarium Research Institute42, Washington University in St. Louis43, University of California, Los Angeles44, Kunming Institute of Zoology45
TL;DR: A precipitous drop in costs and increase in sequencing efficiency is anticipated, with concomitant development of improved annotation technology, and it is proposed to create a collection of tissue and DNA specimens for 10,000 vertebrate species specifically designated for whole-genome sequencing in the very near future.
Abstract: American Genetic Association, Gordon and Betty Moore Foundation, NHGRI Intramural Sequencing Center, and UCSC Alumni Association to cost of the Genome 10K workshop; Howard Hughes Medical Institute to D. H.; Gordon and Betty Moore Foundation to S. C. S.; A
545 citations
TL;DR: The r package vcfr provides essential, novel tools currently not available in r to facilitate VCF data exploration, including intuitive methods for data quality control and easy export to other r packages for further analysis.
Abstract: Software to call single-nucleotide polymorphisms or related genetic variants has converged on the variant call format (VCF) as the output format of choice. This has created a need for tools to work with VCF files. While an increasing number of software exists to read VCF data, many only extract the genotypes without including the data associated with each genotype that describes its quality. We created the r package vcfr to address this issue. We developed a VCF file exploration tool implemented in the r language because r provides an interactive experience and an environment that is commonly used for genetic data analysis. Functions to read and write VCF files into r as well as functions to extract portions of the data and to plot summary statistics of the data are implemented. vcfr further provides the ability to visualize how various parameterizations of the data affect the results. Additional tools are included to integrate sequence (fasta) and annotation data (GFF) for visualization of genomic regions such as chromosomes. Conversion functions translate data from the vcfr data structure to formats used by other r genetics packages. Computationally intensive functions are implemented in C++ to improve performance. Use of these tools is intended to facilitate VCF data exploration, including intuitive methods for data quality control and easy export to other r packages for further analysis. vcfr thus provides essential, novel tools currently not available in r.
544 citations
Authors
Showing all 28447 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Robert Stone | 160 | 1756 | 167901 |
| Menachem Elimelech | 157 | 547 | 95285 |
| Thomas J. Smith | 140 | 1775 | 113919 |
| Harold A. Mooney | 135 | 450 | 100404 |
| Jerry M. Melillo | 134 | 383 | 68894 |
| John F. Thompson | 132 | 1420 | 95894 |
| Thomas N. Williams | 132 | 1145 | 95109 |
| Peter M. Vitousek | 127 | 352 | 96184 |
| Steven W. Running | 126 | 355 | 76265 |
| Vincenzo Di Marzo | 126 | 659 | 60240 |
| J. D. Hansen | 122 | 975 | 76198 |
| Peter Molnar | 118 | 446 | 53480 |
| Michael R. Hoffmann | 109 | 500 | 63474 |
| David Pollard | 108 | 438 | 39550 |
| David J. Hill | 107 | 1364 | 57746 |