Institution
National University of Singapore
Education•Singapore, Singapore•
About: National University of Singapore is a education organization based out in Singapore, Singapore. It is known for research contribution in the topics: Population & Catalysis. The organization has 74269 authors who have published 165426 publications receiving 5474934 citations. The organization is also known as: NUS & Universiti Kebangsaan Singapura.
Papers published on a yearly basis
Papers
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University of California, Santa Cruz1, University of California, Davis2, Agency for Science, Technology and Research3, National University of Singapore4, Wellcome Trust Sanger Institute5, European Bioinformatics Institute6, University of Porto7, Joint Genome Institute8, Centre national de la recherche scientifique9, French Institute for Research in Computer Science and Automation10, Cold Spring Harbor Laboratory11, University of Maryland, College Park12, Monsanto13, University of California, San Francisco14, Howard Hughes Medical Institute15, Royal Holloway, University of London16, Sainsbury Laboratory17, Beijing Genomics Institute18, Broad Institute19
TL;DR: The Assemblathon 1 competition is described, which aimed to comprehensively assess the state of the art in de novo assembly methods when applied to current sequencing technologies, and it is established that it is possible to assemble the genome to a high level of coverage and accuracy.
Abstract: Low-cost short read sequencing technology has revolutionized genomics, though it is only just becoming practical for the high-quality de novo assembly of a novel large genome We describe the Assemblathon 1 competition, which aimed to comprehensively assess the state of the art in de novo assembly methods when applied to current sequencing technologies In a collaborative effort, teams were asked to assemble a simulated Illumina HiSeq data set of an unknown, simulated diploid genome A total of 41 assemblies from 17 different groups were received Novel haplotype aware assessments of coverage, contiguity, structure, base calling, and copy number were made We establish that within this benchmark: (1) It is possible to assemble the genome to a high level of coverage and accuracy, and that (2) large differences exist between the assemblies, suggesting room for further improvements in current methods The simulated benchmark, including the correct answer, the assemblies, and the code that was used to evaluate the assemblies is now public and freely available from http://wwwassemblathonorg/
548 citations
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TL;DR: A new deep learning approach for cardiac arrhythmia (17 classes) detection based on long-duration electrocardiography (ECG) signal analysis based on a new 1D-Convolutional Neural Network model (1D-CNN).
548 citations
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TL;DR: The therapeutic use of colchicine has extended beyond gouty arthritis and familial Mediterranean fever, to osteoarthritis, pericarditis, and atherosclerosis, and further understanding of the mechanisms of action underlying the therapeutic efficacy will lead to its potential use in a variety of conditions.
548 citations
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TL;DR: In this article, the authors make an attempt to develop a comprehensive literature on outsourcing based on more than 100 published articles, papers and books on the subject, which is indicated by the volume of writings on outsourcing in various scholarly journals, trade publications and popular magazines.
Abstract: Recent times have witnessed a heightened global interest in outsourcing of logistics functions. This is indicated by the volume of writings on the subject in various scholarly journals, trade publications and popular magazines. However, efforts to organize them in an integrated body of knowledge appear to be very limited. Keeping this in view, this paper makes an attempt to develop a comprehensive literature on outsourcing based on more than 100 published articles, papers and books on the subject.
548 citations
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TL;DR: The Therapeutic Target Database (TTD) is designed to provide information about the known therapeutic protein and nucleic acid targets described in the literature, the targeted disease conditions, the pathway information and the corresponding drugs/ligands directed at each of these targets.
Abstract: A number of proteins and nucleic acids have been explored as therapeutic targets. These targets are subjects of interest in different areas of biomedical and pharmaceutical research and in the development and evaluation of bioinformatics, molecular modeling, computer-aided drug design and analytical tools. A publicly accessible database that provides comprehensive information about these targets is therefore helpful to the relevant communities. The Therapeutic Target Database (TTD) is designed to provide information about the known therapeutic protein and nucleic acid targets described in the literature, the targeted disease conditions, the pathway information and the corresponding drugs/ligands directed at each of these targets. Cross-links to other databases are also introduced to facilitate the access of information about the sequence, 3D structure, function, nomenclature, drug/ligand binding properties, drug usage and effects, and related literature for each target. This database can be accessed at http://xin.cz3.nus.edu.sg/group/ttd/ttd.asp and it currently contains entries for 433 targets covering 125 disease conditions along with 809 drugs/ligands directed at each of these targets. Each entry can be retrieved through multiple methods including target name, disease name, drug/ligand name, drug/ligand function and drug therapeutic classification.
547 citations
Authors
Showing all 74987 results
Name | H-index | Papers | Citations |
---|---|---|---|
Albert Hofman | 267 | 2530 | 321405 |
Ronald Klein | 194 | 1305 | 149140 |
Jie Zhang | 178 | 4857 | 221720 |
Kay-Tee Khaw | 174 | 1389 | 138782 |
Barry Halliwell | 173 | 662 | 159518 |
Yang Yang | 171 | 2644 | 153049 |
Richard H. Friend | 169 | 1182 | 140032 |
Gang Chen | 167 | 3372 | 149819 |
Charles M. Lieber | 165 | 521 | 132811 |
Hua Zhang | 163 | 1503 | 116769 |
Tien Yin Wong | 160 | 1880 | 131830 |
Barbara E.K. Klein | 160 | 856 | 93319 |
Pete Smith | 156 | 2464 | 138819 |
Johan G. Eriksson | 156 | 1257 | 123325 |
Xiang Zhang | 154 | 1733 | 117576 |