scispace - formally typeset

Institution

Chinese Academy of Sciences

GovernmentBeijing, Beijing, China
About: Chinese Academy of Sciences is a(n) government organization based out in Beijing, Beijing, China. It is known for research contribution in the topic(s): Catalysis & Population. The organization has 421602 authors who have published 634849 publication(s) receiving 14894293 citation(s). The organization is also known as: CAS.
Topics: Catalysis, Population, Laser, Graphene, Adsorption


Papers
More filters
Journal ArticleDOI
Abstract: Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: [email protected]

35,747 citations

Journal ArticleDOI
Eric S. Lander1, Lauren Linton1, Bruce W. Birren1, Chad Nusbaum1  +245 moreInstitutions (29)
15 Feb 2001-Nature
TL;DR: The results of an international collaboration to produce and make freely available a draft sequence of the human genome are reported and an initial analysis is presented, describing some of the insights that can be gleaned from the sequence.
Abstract: The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.

21,023 citations

Journal ArticleDOI
TL;DR: Characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia, and further investigation is needed to explore the applicability of the Mu LBSTA scores in predicting the risk of mortality in 2019-nCoV infection.
Abstract: In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China. We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia. In this retrospective, single-centre study, we included all confirmed cases of 2019-nCoV in Wuhan Jinyintan Hospital from Jan 1 to Jan 20, 2020. Cases were confirmed by real-time RT-PCR and were analysed for epidemiological, demographic, clinical, and radiological features and laboratory data. Outcomes were followed up until Jan 25, 2020.

12,381 citations

Journal ArticleDOI
03 Feb 2020-Nature
TL;DR: Identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China, and it is shown that this virus belongs to the species of SARSr-CoV, indicates that the virus is related to a bat coronav virus.
Abstract: Since the outbreak of severe acute respiratory syndrome (SARS) 18 years ago, a large number of SARS-related coronaviruses (SARSr-CoVs) have been discovered in their natural reservoir host, bats1–4. Previous studies have shown that some bat SARSr-CoVs have the potential to infect humans5–7. Here we report the identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China. The epidemic, which started on 12 December 2019, had caused 2,794 laboratory-confirmed infections including 80 deaths by 26 January 2020. Full-length genome sequences were obtained from five patients at an early stage of the outbreak. The sequences are almost identical and share 79.6% sequence identity to SARS-CoV. Furthermore, we show that 2019-nCoV is 96% identical at the whole-genome level to a bat coronavirus. Pairwise protein sequence analysis of seven conserved non-structural proteins domains show that this virus belongs to the species of SARSr-CoV. In addition, 2019-nCoV virus isolated from the bronchoalveolar lavage fluid of a critically ill patient could be neutralized by sera from several patients. Notably, we confirmed that 2019-nCoV uses the same cell entry receptor—angiotensin converting enzyme II (ACE2)—as SARS-CoV. Characterization of full-length genome sequences from patients infected with a new coronavirus (2019-nCoV) shows that the sequences are nearly identical and indicates that the virus is related to a bat coronavirus.

12,056 citations

Journal ArticleDOI
TL;DR: There is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019 and considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere.
Abstract: Background The initial cases of novel coronavirus (2019-nCoV)–infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the...

10,234 citations


Authors

Showing all 421601 results

NameH-indexPapersCitations
Frank B. Hu2501675253464
Zhong Lin Wang2452529259003
Yi Chen2174342293080
Jing Wang1844046202769
Peidong Yang183562144351
Xiaohui Fan183878168522
H. S. Chen1792401178529
Douglas Scott1781111185229
Jie Zhang1784857221720
Pulickel M. Ajayan1761223136241
Feng Zhang1721278181865
Andrea Bocci1722402176461
Yang Yang1712644153049
Lei Jiang1702244135205
Yang Gao1682047146301
Network Information
Related Institutions (5)
Tsinghua University

200.5K papers, 4.5M citations

94% related

Zhejiang University

183.2K papers, 3.4M citations

93% related

Peking University

181K papers, 4.1M citations

93% related

Centre national de la recherche scientifique

382.4K papers, 13.6M citations

93% related

Spanish National Research Council

220.4K papers, 7.6M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20222,320
202159,091
202055,055
201952,186
201846,329
201742,986