13 results on '"Guangya, Duan"'
Search Results
2. Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022.
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Yongbiao Xue, Yiming Bao, Zhang Zhang 0002, Wenming Zhao, Jing-Fa Xiao, Shunmin He, Guoqing Zhang 0006, Yixue Li, Guoping Zhao, Runsheng Chen, Jingyao Zeng, Yadong Zhang, Yunfei Shang, Jialin Mai, Shuo Shi, Mingming Lu, Congfan Bu, Zhewen Zhang, Zhenglin Du, Yinying Wang, Hongen Kang, Tianyi Xu, Lili Hao, Peilin Jia, Shuai Jiang, Qiheng Qian, Tongtong Zhu, Wenting Zong, Tong Jin, Yuansheng Zhang, Dong Zou, Qiang Du, Changrui Feng, Lina Ma, Sisi Zhang, Anke Wang, Lili Dong, Yanqing Wang, Wan Liu, Xing Yan, Yunchao Ling, Zhihua Zhou, Wang Kang, Tao Zhang 0026, Shuai Ma, Haoteng Yan, Zunpeng Liu, Zejun Ji, Yusheng Cai, Si Wang, Moshi Song, Jie Ren, Qi Zhou, Jing Qu, Weiqi Zhang, Guanghui Liu 0005, Xu Chen, Tingting Chen, Yanling Sun, Caixia Yu, Bixia Tang, Junwei Zhu, Shuang Zhai, Yubin Sun, Qiancheng Chen, Xiaoyu Yang, Xin Zhang 0086, Zhengqi Sang, Yonggang Wang, Yilin Zhao, Huanxin Chen, Li Lan, Yingke Ma, Yaokai Jia, Xinchang Zheng, Meili Chen, Ming Chen, Guangyi Niu, Rong Pan, Wei Jing, Jian Sang, Chang Liu, Yujia Xiong, Mochen Zhang, Guoliang Wang, Lizhi Yi, Wei Zhao, Song Wu, Zhuang Xiong, Rujiao Li, Zheng Gong, Lin Liu, Zhao Li 0007, Qianpeng Li, Sicheng Luo, Jiajia Wang, Yirong Shi, Honghong Zhou, Peng Zhang 0047, Tingrui Song, Yanyan Li, Fei Yang, Mengwei Li, Zhaohua Li, Dongmei Tian, Xiaonan Liu, Cuiping Li 0004, Xufei Teng, Shuhui Song, Yang Zhang 0042, Ruru Chen, Rongqin Zhang, Feng Xu, Yifan Wang, Chenfen Zhou, Haizhou Wang, Andrew E. Teschendorff, Yungang He, Zhen Yang, Lun Li, Na Li, Ying Cui, Guangya Duan, Gangao Wu, Tianhao Huang, Enhui Jin, Hailong Kang, Zhonghuang Wang, Hua Chen 0010, Mingkun Li, Wanshan Ning, Yu Xue 0001, Yanhu Liu, Qijun Zhou, Xingyan Liu, Longlong Zhang, Bingyu Mao, Shihua Zhang, Yaping Zhang, Guodong Wang, Qianghui Zhu, Xin Li, Menghua Li, Yuanming Liu, Hong Luo, Xiaoyuan Wu, Haichun Jing, Yitong Pan, Leisheng Shi, Zhixiang Zuo, Jian Ren 0002, Xinxin Zhang, Yun Xiao 0001, Xia Li 0004, Dan Liu, Chi Zhang, Zheng Zhao, Tao Jiang 0050, Wanying Wu, Fangqing Zhao, Xianwen Meng, Di Peng, Hao Luo 0002, Feng Gao 0001, Shaofeng Lin, Chuijie Liu, Anyuan Guo, Hao Yuan, Tianhan Su, Yong E. Zhang, Yincong Zhou, Guoji Guo, Shanshan Fu, Xiaodan Tan, Weizhi Zhang 0002, Mei Luo, Yubin Xie, Chenwei Wang, Xingyu Liao, Xin Gao 0001, Jianxin Wang 0001, Guiyan Xie, Chunhui Yuan, Feng Tian 0005, Dechang Yang, Ge Gao, Dachao Tang, Wenyi Wu, Yujie Gou, Cheng Han, Qinghua Cui, Xiangshang Li, Chuan-Yun Li, and Xiaotong Luo
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- 2022
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3. Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021.
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Yongbiao Xue, Yiming Bao, Zhang Zhang 0002, Wenming Zhao, Jing-Fa Xiao, Shunmin He, Guoqing Zhang 0006, Yixue Li, Guoping Zhao, Runsheng Chen, Shuhui Song, Lina Ma, Dong Zou, Dongmei Tian, Cuiping Li 0004, Junwei Zhu, Zheng Gong, Meili Chen, Anke Wang, Yingke Ma, Mengwei Li, Xufei Teng, Ying Cui, Guangya Duan, Mochen Zhang, Tong Jin, Chengmin Shi, Zhenglin Du, Yadong Zhang, Chuandong Liu, Rujiao Li, Jingyao Zeng, Lili Hao, Shuai Jiang, Hua Chen 0010, Dali Han, Tao Zhang 0026, Wang Kang, Fei Yang, Jing Qu, Weiqi Zhang, Guanghui Liu 0005, Lin Liu, Yang Zhang 0042, Guangyi Niu, Tongtong Zhu, Changrui Feng, Xiaonan Liu, Yuansheng Zhang, Zhao Li 0007, Ruru Chen, Qianpeng Li, Zhongyi Hua, Chao Jiang, Ziyuan Chen, Fangshu He, Yuyang Zhao, Yan Jin 0007, Luqi Huang, Yuan Yuan, Chenfen Zhou, Qingwei Xu, Sheng He, Wei Ye, Ruifang Cao, Pengyu Wang, Yunchao Ling, Xing Yan, Qingzhong Wang, Qiang Du, Wenting Zong, Hongen Kang, Zhuang Xiong, Wendi Huan, Sirui Zhang, Qiguang Xia, Xiaojuan Fan, Zefeng Wang, Xu Chen, Tingting Chen, Sisi Zhang, Bixia Tang, Lili Dong, Zhewen Zhang, Zhonghuang Wang, Hailong Kang, Yanqing Wang, Song Wu, Ming Chen, Chang Liu, Yujia Xiong, Xueying Shao, Yanyan Li, Honghong Zhou, Xiaomin Chen, Yu Zheng 0030, Quan Kang, Di Hao, Lili Zhang 0007, Huaxia Luo, Yajing Hao 0001, Peng Zhang 0047, Zhi Nie, Shuhuan Yu, Jian Sang, Zhaohua Li, Xiangquan Zhang, Qing Zhou, Shuang Zhai, Yaping Zhang, Guodong Wang, Qianghui Zhu, Xin Li, Menghua Li, Jun Yan, Chen Li, Zhennan Wang, Xiangfeng Wang, Yuanming Liu, Hong Luo, Xiaoyuan Wu, Hai-Chun Jing, Lianhe Zhao, Jiajia Wang, Tinrui Song, Yi Zhao, Furrukh Mehmood, Shahid Ali, Amjad Ali, Shoaib Saleem, Irfan Hussain, Amir Ali Abbasi, Zhixiang Zuo, Jian Ren 0002, Xinxin Zhang, Yun Xiao 0001, Xia Li 0004, Yiran Tu, Yu Xue 0001, Wanying Wu, Peifeng Ji, Fangqing Zhao, Xianwen Meng, Di Peng, Hao Luo 0002, Feng Gao 0001, Wanshan Ning, Shaofeng Lin, Teng Liu, An-Yuan Guo, Hao Yuan, Yong E. Zhang, Xiaodan Tan, Weizhi Zhang 0002, Yubin Xie, Chenwei Wang, Chun-Jie Liu, De-Chang Yang, Feng Tian 0005, Ge Gao, Dachao Tang, Lan Yao, Qinghua Cui, Ni A. An, Chuan-Yun Li, and Xiaotong Luo
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- 2021
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4. Coronavirus GenBrowser for monitoring the transmission and evolution of SARS-CoV-2.
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Dalang Yu, Xiao Yang, Bixia Tang, Yi-Hsuan Pan, Jianing Yang, Guangya Duan, Junwei Zhu, Zi-Qian Hao, Hailong Mu, Long Dai, Wangjie Hu, Mochen Zhang, Ying Cui, Tong Jin, Cui-Ping Li 0004, Lina Ma, Xiao Su, Guoqing Zhang 0006, Wenming Zhao, and Haipeng Li
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- 2022
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5. The Global Landscape of SARS-CoV-2 Genomes, Variants, and Haplotypes in 2019nCoVR.
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Shuhui Song, Lina Ma, Dong Zou, Dongmei Tian, Cuiping Li 0004, Junwei Zhu, Meili Chen, Anke Wang, Yingke Ma, Mengwei Li, Xufei Teng, Ying Cui, Guangya Duan, Mochen Zhang, Tong Jin, Chengmin Shi, Zhenglin Du, Yadong Zhang, Chuandong Liu, Rujiao Li, Jingyao Zeng, Lili Hao, Shuai Jiang, Hua Chen 0010, Dali Han, Jing-Fa Xiao, Zhang Zhang 0002, Wenming Zhao, Yongbiao Xue, and Yiming Bao
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- 2020
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6. HGD: an integrated homologous gene database across multiple species
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Guangya Duan, Gangao Wu, Xiaoning Chen, Dongmei Tian, Zhaohua Li, Yanling Sun, Zhenglin Du, Lili Hao, Shuhui Song, Yuan Gao, Jingfa Xiao, Zhang Zhang, Yiming Bao, Bixia Tang, and Wenming Zhao
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Genetics - Abstract
Homology is fundamental to infer genes’ evolutionary processes and relationships with shared ancestry. Existing homolog gene resources vary in terms of inferring methods, homologous relationship and identifiers, posing inevitable difficulties for choosing and mapping homology results from one to another. Here, we present HGD (Homologous Gene Database, https://ngdc.cncb.ac.cn/hgd), a comprehensive homologs resource integrating multi-species, multi-resources and multi-omics, as a complement to existing resources providing public and one-stop data service. Currently, HGD houses a total of 112 383 644 homologous pairs for 37 species, including 19 animals, 16 plants and 2 microorganisms. Meanwhile, HGD integrates various annotations from public resources, including 16 909 homologs with traits, 276 670 homologs with variants, 398 573 homologs with expression and 536 852 homologs with gene ontology (GO) annotations. HGD provides a wide range of omics gene function annotations to help users gain a deeper understanding of gene function.
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- 2022
7. Global cold-chain related SARS-CoV-2 transmission identified by pandemic-scale phylogenomics
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Dalang, Yu, Junwei, Zhu, Jianing, Yang, Yi-Hsuan, Pan, Hailong, Mu, Ruifang, Cao, Bixia, Tang, Guangya, Duan, Zi-Qian, Hao, Long, Dai, Guo-Ping, Zhao, Ya-Ping, Zhang, Wenming, Zhao, Guoqing, Zhang, and Haipeng, Li
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Ecology ,SARS-CoV-2 ,Mutation ,Animals ,COVID-19 ,Animal Science and Zoology ,Pandemics ,Phylogeny ,Ecology, Evolution, Behavior and Systematics - Published
- 2022
8. Coronavirus GenBrowser for monitoring the transmission and evolution of SARS-CoV-2
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Dalang, Yu, Xiao, Yang, Bixia, Tang, Yi-Hsuan, Pan, Jianing, Yang, Guangya, Duan, Junwei, Zhu, Zi-Qian, Hao, Hailong, Mu, Long, Dai, Wangjie, Hu, Mochen, Zhang, Ying, Cui, Tong, Jin, Cui-Ping, Li, Lina, Ma, Xiao, Su, Guoqing, Zhang, Wenming, Zhao, and Haipeng, Li
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Molecular Epidemiology ,SARS-CoV-2 ,DNA Mutational Analysis ,COVID-19 ,Computational Biology ,Molecular Sequence Annotation ,Genome, Viral ,Genomics ,Web Browser ,Databases, Genetic ,Mutation ,Humans ,Public Health Surveillance ,Molecular Biology ,Software ,Information Systems - Abstract
Genomic epidemiology is important to study the COVID-19 pandemic, and more than two million severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic sequences were deposited into public databases. However, the exponential increase of sequences invokes unprecedented bioinformatic challenges. Here, we present the Coronavirus GenBrowser (CGB) based on a highly efficient analysis framework and a node-picking rendering strategy. In total, 1,002,739 high-quality genomic sequences with the transmission-related metadata were analyzed and visualized. The size of the core data file is only 12.20 MB, highly efficient for clean data sharing. Quick visualization modules and rich interactive operations are provided to explore the annotated SARS-CoV-2 evolutionary tree. CGB binary nomenclature is proposed to name each internal lineage. The pre-analyzed data can be filtered out according to the user-defined criteria to explore the transmission of SARS-CoV-2. Different evolutionary analyses can also be easily performed, such as the detection of accelerated evolution and ongoing positive selection. Moreover, the 75 genomic spots conserved in SARS-CoV-2 but non-conserved in other coronaviruses were identified, which may indicate the functional elements specifically important for SARS-CoV-2. The CGB was written in Java and JavaScript. It not only enables users who have no programming skills to analyze millions of genomic sequences, but also offers a panoramic vision of the transmission and evolution of SARS-CoV-2.
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- 2021
9. Global Cold-Chain Related SARS-CoV-2 Transmission
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Long Dai, Dalang Yu, Yi-Hsuan Pan, Hailong Mu, Guangya Duan, Jianing Yang, Guoping Zhao, Guoqing Zhang, Bixia Tang, Junwei Zhu, Ya-Ping Zhang, Wenming Zhao, Ruifang Cao, Haipeng Li, and Zi-Qian Hao
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Mutation rate ,Transmission (mechanics) ,Coronavirus disease 2019 (COVID-19) ,Social contact ,law ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Pandemic ,Outbreak ,Biology ,Cold chain ,Virology ,law.invention - Abstract
The COVID-19 pandemic poses a great threat to human society. SARS-CoV-2 is mainly transmitted through social contact; however, it is highly debated whether cold-chain related transmission has occurred and can be identified in the epidemic areas of COVID-19. Here, we provide a new method and distinguish two transmission routes by detecting a lineage-specific reduction of SARS-CoV-2 mutation rate. After analyzing 1,610,125 SARS-CoV-2 genomic sequences, we find that two outbreaks in Xinfadi-Beijing and Auckland are cold-chain related and respectively caused by two mutation-dormant variants. A Dalian outbreak in July 2020 and a Yingkou outbreak ten months later are epidemiologically connected and derived from a cold-chain related variant. Mutation-dormant variants are detected during the spread of spike D614G variant and the Delta Variant of Concern. Cold-chain contaminations repeatedly caused by epidemiologically connected patients are also found and have resulted in infections. Moreover, the COVID-19 outbreak in Wuhan is likely to be cold-chain related. A systematic identification reveals that the frequency of cold-chain related transmission is in the order of magnitude of 0.1-10%. Our results indicate that that cold-chain related transmission is rare but happens globally.
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- 2021
10. Coronavirus GenBrowser for monitoring the transmission and evolution of SARS-CoV-2
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Xiao Yang, Jianing Yang, Xiao Su, Tong Jin, Dalang Yu, Wenming Zhao, Yi-Hsuan Pan, Lina Ma, Long Dai, Hailong Mu, Guo-Qing Zhang, Guangya Duan, Ying Cui, Wangjie Hu, Zi-Qian Hao, Haipeng Li, Bixia Tang, Junwei Zhu, Language translation team, Cuiping Li, and Mochen Zhang
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Genetics ,Most recent common ancestor ,Mutation ,Lineage (genetic) ,Strain (biology) ,medicine ,Outbreak ,Biology ,medicine.disease_cause ,Genome ,Virus ,Coronavirus - Abstract
COVID-19 has widely spread across the world, and much research is being conducted on the causative virus SARS-CoV-2. To help control the infection, we developed the Coronavirus GenBrowser (CGB) to monitor the pandemic. With CGB, 178,765 high quality SARS-CoV-2 genomic sequences were analyzed, and 121,522 mutations were identified. In total, 1,041 mutation cold spots were found, suggesting that these spots are key functional elements of SARS-CoV-2 and can be used for detection and vaccine development. CGB revealed 203 accelerated evolutions of SARS-CoV-2, but variants with accelerated evolution were not found to be highly contagious, suggesting that most of these evolutions are neutral. The B.1.1.7 (CGB75056.84017) lineage previously identified in the UK was not found to be significantly accelerated although its adaptive evolution was detected. Moreover, 2,297 strains with a significantly reduced evolutionary rate were identified, including three closely related variants widely spreading in Europe with no mutations in three months. By lineage tracing, a strain dated early March 2020 was determined to be the most recent common ancestor of nine strains collected from six different regions in three continents. This strain was also found to cause the outbreak in Xinfadi, Beijing, China in June 2020. CGB allows visualization and analysis of hundreds of thousands of SARS-CoV-2 genomic sequences. Distributed genome alignments and its effective analysis pipeline ensure timely update of the latest genomic data of SARS-CoV-2. CGB is an efficient platform for the general public to monitor the transmission and evolution of SARS-CoV-2.
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- 2020
11. The Global Landscape of SARS-CoV-2 Genomes, Variants, and Haplotypes in 2019nCoVR
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Xufei Teng, Hua Chen, Meili Chen, Rujiao Li, Shuhui Song, Mochen Zhang, Dong Zou, Wenming Zhao, Zhang Zhang, Jingfa Xiao, Zhenglin Du, Dongmei Tian, Mengwei Li, Cheng-Min Shi, Yingke Ma, Yadong Zhang, Anke Wang, Yongbiao Xue, Dali Han, Lili Hao, Junwei Zhu, Yiming Bao, Tong Jin, Cuiping Li, Shuai Jiang, Lina Ma, Jingyao Zeng, Chuandong Liu, Guangya Duan, and Ying Cui
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Coronavirus disease 2019 (COVID-19) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Population ,Computational biology ,Genome, Viral ,Biology ,Genome ,Biochemistry ,Database ,03 medical and health sciences ,0302 clinical medicine ,Haplotype ,Genetics ,Humans ,education ,Molecular Biology ,030304 developmental biology ,Sequence (medicine) ,Genomic variation ,0303 health sciences ,education.field_of_study ,SARS-CoV-2 ,COVID-19 ,2019nCoVR ,Genomics ,Data sharing ,Computational Mathematics ,Haplotypes ,Quality Score ,030217 neurology & neurosurgery - Abstract
On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integration of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation, and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, haplotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.
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- 2020
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12. The global landscape of SARS-CoV-2 genomes, variants, and haplotypes in 2019nCoVR
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Mengwei Li, Shuai Jiang, Lina Ma, Dali Han, Yadong Zhang, Anke Wang, Yingke Ma, Guangya Duan, Ying Cui, Tong Jin, Junwei Zhu, Zhenglin Du, Cheng-Min Shi, Lili Hao, Yiming Bao, Cuiping Li, Hua Chen, Wenming Zhao, Jingfa Xiao, Dongmei Tian, Jingyao Zeng, Shuhui Song, Mochen Zhang, Xufei Teng, Zhang Zhang, Rujiao Li, Chuandong Liu, Yongbiao Xue, Dong Zou, and Meili Chen
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education.field_of_study ,Resource (project management) ,Computer science ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Population ,Haplotype ,Genomics ,Computational biology ,education ,Genome - Abstract
On 22 January 2020, the National Genomics Data Center (NGDC), part of the China National Center for Bioinformation (CNCB), created the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access SARS-CoV-2 information resource. 2019nCoVR features a comprehensive integration of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by our in-house automated pipeline. Of particular note, 2019nCoVR performs systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and detailed statistics for each virus isolate, and congregates the quality score, functional annotation, and population frequency for each variant. It also generates visualization of the spatiotemporal change for each variant and yields historical viral haplotype network maps for the course of the outbreak from all complete and high-quality genomes. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on COVID-19 (Coronavirus Disease 2019), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB-NGDC, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with National Center for Biotechnology Information. Collectively, all SARS-CoV-2 genome sequences, variants, haplotypes and literature are updated daily to provide timely information, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.
- Published
- 2020
13. Database Resources of the National Genomics Data Center in 2020
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Mengwei Li, Yu Zheng, Na Yuan, Yan Lu, Yaping Guo, Amir Ali Abbasi, Yiheng Teng, Jin-Pu Jin, Li Lan, Hui Li, Mengyu Pan, Xiangfeng Wang, Ge Gao, Xia Li, Junwen Zhu, Runsheng Chen, Zhang Zhang, Jinyue Wang, Guoping Zhao, Shaofeng Lin, Jian Sang, Ruifang Cao, Jiaqi Zhou, Yu Xue, Hao Zhang, Hongwei Guo, Yunchao Ling, Shuang Zhai, Lili Zhang, Yixue Li, Partners, Jingfa Xiao, Ming Chen, Hao Luo, An-Yuan Guo, Qing Zhou, Bixia Tang, Di Peng, Yiwei Niu, Sisi Zhang, Zhewen Zhang, Junwei Zhu, Mingyuan Sun, Wanshan Ning, Xu Chen, Chao Zhang, Meiye Jiang, Meili Chen, Nashaiman Pervaiz, Lili Hao, Zhou Huang, Xin Li, Huma Shireen, Lei Yu, Xiaonan Liu, Cuiping Li, Hui Hu, Guoliang Wang, Dong Zou, Xin Zhang, Yongbiao Xue, Xiyuan Li, Jingyao Zeng, Fatima Batool, Yang Zhang, Hailong Kang, Feng Tian, Peifeng Ji, Xueyi Teng, Liang Sun, Qianghui Zhu, Guoqing Zhang, Zhonghuang Wang, Wenming Zhao, Wan Liu, Fangqing Zhao, Shuhui Song, Jiabao Cao, Chunhui Yuan, Zheng Gong, Huanxin Chen, Yiming Bao, Feng Gao, Liyun Yuan, Shunmin He, Dongmei Tian, Qiheng Qian, Pei Wang, Yun Xiao, Zhaohua Li, Xinli Xia, Lin Liu, Lan Yao, Yingke Ma, Xianhui Sun, Quan Kang, Hua Xue, Qiang Du, Yiran Tu, Yadong Zhang, Rujiao Li, Menghua Li, Tingting Chen, Zhilin Ning, Qiong Zhang, Shuangsang Fang, Lianhe Zhao, Shuo Shi, Tongtong Zhu, Chuan-Yun Li, Qing Tang, Xiaoyang Zhi, Xiaomin Chen, Jun Yan, Hongen Kang, Yajing Hao, Xufei Teng, Chenwei Wang, Yi Zhang, Jiajia Wang, Qianpeng Li, Wanying Wu, Yuansheng Zhang, Cui Ying, Yanyan Li, Lina Ma, Fei Yang, Zhuang Xiong, Rabail Zehra Raza, Yong E Zhang, Yang Gao, Chen Li, Hans-Peter Klenk, Ying Shi, Zhennan Wang, Lili Dong, Zhenglin Du, Mingming Lu, Shuhua Xu, Yang Wu, Song Wu, Houling Wang, Yi Zhao, Yubin Sun, Qinghua Cui, Chen Ruan, Yunfei Shang, Guangyi Niu, Xiangshang Li, Xinxin Zhang, Qianwen Gao, Jincheng Guo, Qi Wang, Peng Zhang, Zhonghai Li, Yanqing Wang, Zhao Jiang, Hao Yuan, Zhao Li, Daqing Lv, Haokui Zhou, Ya-Ru Miao, and Guangya Duan
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Big data ,Genomics ,Cloud computing ,Web Browser ,Biology ,computer.software_genre ,03 medical and health sciences ,0302 clinical medicine ,Data Warehousing ,Databases, Genetic ,Genetics ,Database Issue ,Humans ,Data hub ,030304 developmental biology ,0303 health sciences ,Database ,Genome, Human ,business.industry ,Suite ,Computational Biology ,Academia (organization) ,Data center ,Web service ,business ,computer ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
The National Genomics Data Center (NGDC) provides a suite of database resources to support worldwide research activities in both academia and industry. With the rapid advancements in higher-throughput and lower-cost sequencing technologies and accordingly the huge volume of multi-omics data generated at exponential scales and rates, NGDC is continually expanding, updating and enriching its core database resources through big data integration and value-added curation. In the past year, efforts for update have been mainly devoted to BioProject, BioSample, GSA, GWH, GVM, NONCODE, LncBook, EWAS Atlas and IC4R. Newly released resources include three human genome databases (PGG.SNV, PGG.Han and CGVD), eLMSG, EWAS Data Hub, GWAS Atlas, iSheep and PADS Arsenal. In addition, four web services, namely, eGPS Cloud, BIG Search, BIG Submission and BIG SSO, have been significantly improved and enhanced. All of these resources along with their services are publicly accessible at https://bigd.big.ac.cn.
- Published
- 2019
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