Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025

Yiming Bao; Zhang Zhang; Wenming Zhao; Jingfa Xiao; Shuhui Song; Shunmin He; Guoqing Zhang; Yixue Li; Guoping Zhao; Runsheng Chen; Jialin Mai; Qiheng Qian; Hao Gao; Zhuojing Fan; Jingyao Zeng; Wenwen Shi; Enhui Jin; Lu Fang; Yanling Sun; Junwei Zhu; Chengzhi Liang; Yongqing Zhang; Guodong Wang; Ruikun Xue; Chenle Xu; Fengyu Wang; Jiaxin Yang; Xinhao Zhuang; Ping Xu; Yunchao Ling; Hao Li; Wei Zhao; Fei Yang; Qin Qiao; Shuai Ma; Kuan Yang; Si Wang; Jing Qu; Guanghui Liu; Lu Wang; Jing Li; Yi Wang; Xing Zheng; Yang Zhang; Yaping Zhang; Jian Ren; Xin Gao; Jianxin Wang; Ge Gao; Bo Liu

doi:10.1093/nar/gkae978

Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025

Yiming Bao^*, Zhang Zhang^*, Wenming Zhao^*, Jingfa Xiao^*, Shuhui Song^*, Shunmin He^*, Guoqing Zhang^*, Yixue Li^*, Guoping Zhao^*, Runsheng Chen^*, Jialin Mai, Qiheng Qian, Hao Gao, Zhuojing Fan, Jingyao Zeng, Wenwen Shi, Enhui Jin, Lu Fang, Yanling Sun, Junwei ZhuChengzhi Liang, Yongqing Zhang, Guodong Wang, Ruikun Xue, Chenle Xu, Fengyu Wang, Jiaxin Yang, Xinhao Zhuang, Ping Xu, Yunchao Ling, Hao Li, Wei Zhao, Fei Yang, Qin Qiao, Shuai Ma, Kuan Yang, Si Wang, Jing Qu, Guanghui Liu, Lu Wang, Jing Li, Yi Wang, Xing Zheng, Yang Zhang, Yaping Zhang, Jian Ren, Xin Gao, Jianxin Wang, Ge Gao, Bo Liu

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), offers a comprehensive suite of database resources to support the global scientific community. Amidst the unprecedented accumulation of multi-omics data, CNCB-NGDC is committed to continually evolving and updating its core database resources through big data archiving, integrative analysis and value-added curation. Over the past year, CNCB-NGDC has expanded its collaborations with international databases and established new subcenters focusing on biodiversity, traditional Chinese medicine and tumor genetics. Substantial efforts have been made toward encompassing a broad spectrum of multi-omics data, developing innovative resources and enhancing existing resources. Notably, new resources have been developed for single-cell omics (scTWAS Atlas), genome and variation (VDGE), health and disease (CVD Atlas, CPMKG, Immunosenescence Inventory, HemAtlas, Cyclicpepedia, IDeAS), biodiversity and biosynthesis (RefMetaPlant, MASH-Ocean) and research tools (CCLHunter). All resources and services are publicly accessible at https://ngdc.cncb.ac.cn.

Original language	English (US)
Pages (from-to)	D30-D44
Journal	NUCLEIC ACIDS RESEARCH
Volume	53
Issue number	D1
DOIs	https://doi.org/10.1093/nar/gkae978
State	Published - Jan 6 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

ASJC Scopus subject areas

Genetics

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10.1093/nar/gkae978

Cite this

Bao, Y., Zhang, Z., Zhao, W., Xiao, J., Song, S., He, S., Zhang, G., Li, Y., Zhao, G., Chen, R., Mai, J., Qian, Q., Gao, H., Fan, Z., Zeng, J., Shi, W., Jin, E., Fang, L., Sun, Y., ... Liu, B. (2025). Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025. NUCLEIC ACIDS RESEARCH, 53(D1), D30-D44. https://doi.org/10.1093/nar/gkae978

@article{ce9e30fab2cd45b4bf2cafeb02c13f4a,

title = "Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025",

abstract = "The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), offers a comprehensive suite of database resources to support the global scientific community. Amidst the unprecedented accumulation of multi-omics data, CNCB-NGDC is committed to continually evolving and updating its core database resources through big data archiving, integrative analysis and value-added curation. Over the past year, CNCB-NGDC has expanded its collaborations with international databases and established new subcenters focusing on biodiversity, traditional Chinese medicine and tumor genetics. Substantial efforts have been made toward encompassing a broad spectrum of multi-omics data, developing innovative resources and enhancing existing resources. Notably, new resources have been developed for single-cell omics (scTWAS Atlas), genome and variation (VDGE), health and disease (CVD Atlas, CPMKG, Immunosenescence Inventory, HemAtlas, Cyclicpepedia, IDeAS), biodiversity and biosynthesis (RefMetaPlant, MASH-Ocean) and research tools (CCLHunter). All resources and services are publicly accessible at https://ngdc.cncb.ac.cn.",

author = "Yiming Bao and Zhang Zhang and Wenming Zhao and Jingfa Xiao and Shuhui Song and Shunmin He and Guoqing Zhang and Yixue Li and Guoping Zhao and Runsheng Chen and Jialin Mai and Qiheng Qian and Hao Gao and Zhuojing Fan and Jingyao Zeng and Wenwen Shi and Enhui Jin and Lu Fang and Yanling Sun and Junwei Zhu and Chengzhi Liang and Yongqing Zhang and Guodong Wang and Ruikun Xue and Chenle Xu and Fengyu Wang and Jiaxin Yang and Xinhao Zhuang and Ping Xu and Yunchao Ling and Hao Li and Wei Zhao and Fei Yang and Qin Qiao and Shuai Ma and Kuan Yang and Si Wang and Jing Qu and Guanghui Liu and Lu Wang and Jing Li and Yi Wang and Xing Zheng and Yang Zhang and Yaping Zhang and Jian Ren and Xin Gao and Jianxin Wang and Ge Gao and Bo Liu",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",

year = "2025",

month = jan,

day = "6",

doi = "10.1093/nar/gkae978",

language = "English (US)",

volume = "53",

pages = "D30--D44",

journal = "NUCLEIC ACIDS RESEARCH",

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Bao, Y, Zhang, Z, Zhao, W, Xiao, J, Song, S, He, S, Zhang, G, Li, Y, Zhao, G, Chen, R, Mai, J, Qian, Q, Gao, H, Fan, Z, Zeng, J, Shi, W, Jin, E, Fang, L, Sun, Y, Zhu, J, Liang, C, Zhang, Y, Wang, G, Xue, R, Xu, C, Wang, F, Yang, J, Zhuang, X, Xu, P, Ling, Y, Li, H, Zhao, W, Yang, F, Qiao, Q, Ma, S, Yang, K, Wang, S, Qu, J, Liu, G, Wang, L, Li, J, Wang, Y, Zheng, X, Zhang, Y, Zhang, Y, Ren, J, Gao, X , Wang, J, Gao, G & Liu, B 2025, 'Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025', NUCLEIC ACIDS RESEARCH, vol. 53, no. D1, pp. D30-D44. https://doi.org/10.1093/nar/gkae978

TY - JOUR

T1 - Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025

AU - Bao, Yiming

AU - Zhang, Zhang

AU - Zhao, Wenming

AU - Xiao, Jingfa

AU - Song, Shuhui

AU - He, Shunmin

AU - Zhang, Guoqing

AU - Li, Yixue

AU - Zhao, Guoping

AU - Chen, Runsheng

AU - Mai, Jialin

AU - Qian, Qiheng

AU - Gao, Hao

AU - Fan, Zhuojing

AU - Zeng, Jingyao

AU - Shi, Wenwen

AU - Jin, Enhui

AU - Fang, Lu

AU - Sun, Yanling

AU - Zhu, Junwei

AU - Liang, Chengzhi

AU - Zhang, Yongqing

AU - Wang, Guodong

AU - Xue, Ruikun

AU - Xu, Chenle

AU - Wang, Fengyu

AU - Yang, Jiaxin

AU - Zhuang, Xinhao

AU - Xu, Ping

AU - Ling, Yunchao

AU - Li, Hao

AU - Zhao, Wei

AU - Yang, Fei

AU - Qiao, Qin

AU - Ma, Shuai

AU - Yang, Kuan

AU - Wang, Si

AU - Qu, Jing

AU - Liu, Guanghui

AU - Wang, Lu

AU - Li, Jing

AU - Wang, Yi

AU - Zheng, Xing

AU - Zhang, Yang

AU - Zhang, Yaping

AU - Ren, Jian

AU - Gao, Xin

AU - Wang, Jianxin

AU - Gao, Ge

AU - Liu, Bo

PY - 2025/1/6

Y1 - 2025/1/6

N2 - The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), offers a comprehensive suite of database resources to support the global scientific community. Amidst the unprecedented accumulation of multi-omics data, CNCB-NGDC is committed to continually evolving and updating its core database resources through big data archiving, integrative analysis and value-added curation. Over the past year, CNCB-NGDC has expanded its collaborations with international databases and established new subcenters focusing on biodiversity, traditional Chinese medicine and tumor genetics. Substantial efforts have been made toward encompassing a broad spectrum of multi-omics data, developing innovative resources and enhancing existing resources. Notably, new resources have been developed for single-cell omics (scTWAS Atlas), genome and variation (VDGE), health and disease (CVD Atlas, CPMKG, Immunosenescence Inventory, HemAtlas, Cyclicpepedia, IDeAS), biodiversity and biosynthesis (RefMetaPlant, MASH-Ocean) and research tools (CCLHunter). All resources and services are publicly accessible at https://ngdc.cncb.ac.cn.

AB - The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), offers a comprehensive suite of database resources to support the global scientific community. Amidst the unprecedented accumulation of multi-omics data, CNCB-NGDC is committed to continually evolving and updating its core database resources through big data archiving, integrative analysis and value-added curation. Over the past year, CNCB-NGDC has expanded its collaborations with international databases and established new subcenters focusing on biodiversity, traditional Chinese medicine and tumor genetics. Substantial efforts have been made toward encompassing a broad spectrum of multi-omics data, developing innovative resources and enhancing existing resources. Notably, new resources have been developed for single-cell omics (scTWAS Atlas), genome and variation (VDGE), health and disease (CVD Atlas, CPMKG, Immunosenescence Inventory, HemAtlas, Cyclicpepedia, IDeAS), biodiversity and biosynthesis (RefMetaPlant, MASH-Ocean) and research tools (CCLHunter). All resources and services are publicly accessible at https://ngdc.cncb.ac.cn.

UR - http://www.scopus.com/inward/record.url?scp=85214358930&partnerID=8YFLogxK

U2 - 10.1093/nar/gkae978

DO - 10.1093/nar/gkae978

M3 - Article

C2 - 39530327

AN - SCOPUS:85214358930

SN - 0305-1048

VL - 53

SP - D30-D44

JO - NUCLEIC ACIDS RESEARCH

JF - NUCLEIC ACIDS RESEARCH

IS - D1

ER -

Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025

Abstract

Bibliographical note

ASJC Scopus subject areas

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