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Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021.
Nucleic Acids Res ; 49(D1): D18-D28, 2021 01 08.
Article in English | MEDLINE | ID: covidwho-917706
ABSTRACT
The National Genomics Data Center (NGDC), part of the China National Center for Bioinformation (CNCB), provides a suite of database resources to support worldwide research activities in both academia and industry. With the explosive growth of multi-omics data, CNCB-NGDC is continually expanding, updating and enriching its core database resources through big data deposition, integration and translation. In the past year, considerable efforts have been devoted to 2019nCoVR, a newly established resource providing a global landscape of SARS-CoV-2 genomic sequences, variants, and haplotypes, as well as Aging Atlas, BrainBase, GTDB (Glycosyltransferases Database), LncExpDB, and TransCirc (Translation potential for circular RNAs). Meanwhile, a series of resources have been updated and improved, including BioProject, BioSample, GWH (Genome Warehouse), GVM (Genome Variation Map), GEN (Gene Expression Nebulas) as well as several biodiversity and plant resources. Particularly, BIG Search, a scalable, one-stop, cross-database search engine, has been significantly updated by providing easy access to a large number of internal and external biological resources from CNCB-NGDC, our partners, EBI and NCBI. All of these resources along with their services are publicly accessible at https//bigd.big.ac.cn.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computational Biology / Genomics / Databases, Genetic / Big Data / SARS-CoV-2 Type of study: Observational study / Randomized controlled trials / Reviews Topics: Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: Nucleic Acids Res Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computational Biology / Genomics / Databases, Genetic / Big Data / SARS-CoV-2 Type of study: Observational study / Randomized controlled trials / Reviews Topics: Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: Nucleic Acids Res Year: 2021 Document Type: Article