GSA-Human: Genome Sequence Archive for Human.

The Genome Sequence Archive for Human (GSA-Human) is a data repository specialized for human genetic related data derived from biomedical researches, and also supports the data collection and management of National Key Research and Development Projects. GSA-Human has a data security management strategy according to the national regulations of human genetic resources. It provides two different models of data access: Open-access and Controlled-access. Open-access data are universally and freely accessible for global researchers, while Controlled-access ensures that data are accessed only by authorized users with the permission of the Data Access Committee (DAC). Till July 2021, GSA-Human has housed more than 5.27 PB of data from 750 datasets.

An online coronavirus analysis platform from the National Genomics Data Center.

Since the first reported severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in December 2019, coronavirus disease 2019 (COVID-19) has become a global pandemic, spreading to more than 200 countries and regions worldwide. With continued research progress and virus detection, SARS-CoV-2 genomes and sequencing data have been reported and accumulated at an unprecedented rate. To meet the need for fast analysis of these genome sequences, the National Genomics Data Center (NGDC) of the China National Center for Bioinformation (CNCB) has established an online coronavirus analysis platform, which includes de novoassembly, BLAST alignment, genome annotation, variant identification, and variant annotation modules. The online analysis platform can be freely accessed at the 2019 Novel Coronavirus Resource (2019nCoVR) (https://bigd.big.ac.cn/ncov/online/tools).

The 2019 novel coronavirus resource.

An ongoing outbreak of a novel coronavirus infection in Wuhan, China since December 2019 has led to 31,516 infected persons and 638 deaths across 25 countries (till 16:00 on February 7, 2020). The virus causing this pneumonia was then named as the 2019 novel coronavirus (2019-nCoV) by the World Health Organization. To promote the data sharing and make all relevant information of 2019-nCoV publicly available, we construct the 2019 Novel Coronavirus Resource (2019nCoVR, https://bigd.big.ac.cn/ncov). 2019nCoVR features comprehensive integration of genomic and proteomic sequences as well as their metadata information from the Global Initiative on Sharing All Influenza Data, National Center for Biotechnology Information, China National GeneBank, National Microbiology Data Center and China National Center for Bioinformation (CNCB)/National Genomics Data Center (NGDC). It also incorporates a wide range of relevant information including scientific literatures, news, and popular articles for science dissemination, and provides visualization functionalities for genome variation analysis results based on all collected 2019-nCoV strains. Moreover, by linking seamlessly with related databases in CNCB/NGDC, 2019nCoVR offers virus data submission and sharing services for raw sequence reads and assembled sequences. In this report, we provide comprehensive descriptions on data deposition, management, release and utility in 2019nCoVR, laying important foundations in aid of studies on virus classification and origin, genome variation and evolution, fast detection, drug development and pneumonia precision prevention and therapy.

[Prospects for national biological big data centers].

In the era of big data, scientific big data have become the new driving force for both science and technology innovation and social and economic development. China is a powerhouse in generating vast quantities of biological data, which are an essential strategic resource for population health and national security. The current situation of data loss due to the isolated data storage and the lack of systematic data monitoring and management, and the heavy dependency on international biological data centers urgently calls for China's own life big data storage and management system at the national level. Taking NCBI as an example, this article introduces the development history and present situation of the international biological big data centers. In addition, the importance, urgency, current historical opportunity and prospect of establishing a national biological big data center in China are also expounded in detail. In order to promote the development of the national center and improve China's international competitiveness and influence in life science research, the BIG Data Center at Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, has taken many efforts on big data deposition, integration and translation and achieved initial progress.

[Initial analysis of complete genome sequences of SARS coronavirus].

Multiple sequence alignment among 12 complete SARS coronavirus (SARS-CoV) sequences reveals that the major parts of 29708 b of the genomes have 99.82% identical bases. Forty two nucleotide mismatches were found in addition to the five and six gaps in two genomes. Among them, 28 mismatches result in changes of amino acid in the encoded proteins. Analysis of the changes implies possible effect on the Spike and Membrane protein of the virus, while most of the other changes seem not very significant to alter the structure and function of the proteins. These results have been released on the anti-sars web site maintained by the Centre of Bioinformatics, Peking University (antisars.cbi.pku.edu.cn) and may be of help for further experimental study.