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Open AccessJournal ArticleDOI

Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021.

TLDR
BI 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, its partners, EBI and NCBI.
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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The Big Data Center: from deposition to integration and to translation

TL;DR: The BIG Data Center, established at Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, provides a suite of database resources, providing freely open access to a variety of data resources in support of worldwide research activities in both academia and industry.
Journal ArticleDOI

The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types.

TL;DR: The Genome Sequence Archive (GSA) as discussed by the authors is a data repository for archiving raw sequence data, which provides data storage and sharing services for worldwide scientific communities, considering explosive data growth with diverse data types, here we present the GSA family by expanding into a set of resources for raw data archive with different purposes.
Journal ArticleDOI

Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022.

TL;DR: The National Genomics Data Center (NGDC), part of the China National Center for Bioinformation (CNCB), provides a family of database resources to support global research in both academia and industry.
Journal ArticleDOI

Genome Warehouse: A Public Repository Housing Genome-scale Data.

TL;DR: The Genome Warehouse (GWH) as discussed by the authors is a public repository housing genome assembly data for a wide range of species and delivering a series of web services for genome data submission, storage, release, and sharing.
References
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Journal ArticleDOI

Basic Local Alignment Search Tool

TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
Journal ArticleDOI

NCBI GEO: archive for functional genomics data sets—update

TL;DR: The Gene Expression Omnibus is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community and supports archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable.
Journal ArticleDOI

The EMBL-EBI search and sequence analysis tools APIs in 2019

TL;DR: The latest improvements made to the frameworks which enhance the interconnectivity between public EMBL-EBI resources and ultimately enhance biological data discoverability, accessibility, interoperability and reusability are described.
Journal ArticleDOI

The sequence read archive.

TL;DR: The content and structure of the SRA is presented, support for sequencing platforms and recommended data submission levels and formats are provided and the response to the challenge of data growth is outlined.
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