The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024
Open accessAbstract
The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), provides a family of database resources to support the global academic and industrial communities. With the rapid accumulation of multi-omics data at an unprecedented pace, CNCB-NGDC continuously expands and updates core database resources through big data archiving, integrative analysis and value-added curation. Importantly, NGDC collaborates closely with major international databases and initiatives to ensure seamless data exchange and interoperability. Over the past year, significant efforts have been dedicated to integrating diverse omics data, synthesizing expanding knowledge, developing new resources, and upgrading major existing resources. Particularly, several database resources are newly developed for the biodiversity of protists (P10K), bacteria (NTM-DB, MPA) as well as plant (PPGR, SoyOmics, PlantPan) and disease/trait association (CROST, HervD Atlas, HALL, MACdb, BioKA, BioKA, RePoS, PGG.SV, NAFLDkb). All the resources and services are publicly accessible at https://ngdc.cncb.ac.cn.
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Cites
A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
Self-citationThe cancer genome atlas pan-cancer analysis project
The Cancer Genome Atlas Research Network, Weinstein, J. N., Collisson, E. A., Mills, G. B., Shaw, K. R. M., Ozenberger, B. A., Ellrott, K., Shmulevich, I., Sander, C., & Stuart, J. M. (2013) · Nature Genetics · doi:10.1038/ng.2764 · Cited by 9,092
The UK Biobank resource with deep phenotyping and genomic data
Bycroft, C., Freeman, C., Petkova, D., Band, G., Elliott, L. T., Sharp, K., Motyer, A., Vukcevic, D., Delaneau, O., O’Connell, J., et al. (2018) · Nature · doi:10.1038/s41586-018-0579-z · Cited by 8,876
A Map of Recent Positive Selection in the Human Genome
Voight, B. F., Kudaravalli, S., Wen, X., & Pritchard, J. K. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040072 · Cited by 2,893
Leinonen, R., Sugawara, H., Shumway, M., & on behalf of the International Nucleotide Sequence Database Collaboration (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq1019 · Cited by 2,746
Search and sequence analysis tools services from EMBL-EBI in 2022
Madeira, F., Pearce, M., Tivey, A. R. N., Basutkar, P., Lee, J., Edbali, O., Madhusoodanan, N., Kolesnikov, A., & Lopez, R. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac240 · Cited by 2,267
Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program
Taliun, D., Harris, D. N., Kessler, M. D., Carlson, J., Szpiech, Z. A., Torres, R., Taliun, S. A. G., Corvelo, A., Gogarten, S. M., Kang, H. M., et al. (2021) · Nature · doi:10.1038/s41586-021-03205-y · Cited by 2,213
Self-citationThe Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types
Chen, T., Chen, X., Zhang, S., Zhu, J., Tang, B., Wang, A., Dong, L., Zhang, Z., Yu, C., Sun, Y., et al. (2021) · Genomics, Proteomics & Bioinformatics · doi:10.1016/j.gpb.2021.08.001 · Cited by 1,816
Self-citationA pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells
Cheng, S., Li, Z., Gao, R., Xing, B., Gao, Y., Yang, Y., Qin, S., Zhang, L., Ouyang, H., Du, P., et al. (2021) · Cell · doi:10.1016/j.cell.2021.01.010 · Cited by 1,601
Biomarker definitions and their applications
Califf, R. M. (2018) · Experimental Biology and Medicine · doi:10.1177/1535370217750088 · Cited by 1,528
Cited by
Partners, C.-N. M. A., Bao, Y., Bai, X., Bu, C., Chen, H., Chen, H., Chen, K., Chen, M., Chen, M., Chen, M., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkae978 · Cited by 412
Self-citationOsteoarthritis treatment via the GLP-1–mediated gut-joint axis targets intestinal FXR signaling
Yang, Y., Hao, C., Jiao, T., Yang, Z., Li, H., Zhang, Y., Zhang, W., Doherty, M., Sun, C., Yang, T., et al. (2025) · Science · doi:10.1126/science.adt0548 · Cited by 160
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Metadata
- Authors
- Partners, C.-N. M. A., Bai, X., Bao, Y., Bei, S., Bu, C., Cao, R., Cao, Y., Cen, H., Chao, J., Chen, F., Chen, H., Chen, K., Chen, M., Chen, M., Chen, M., Chen, Q., Chen, R., Chen, S., Chen, T., Chen, X., Chen, X., Cheng, Y., Chu, Y., Cui, Q., Dong, L., Du, Z., Duan, G., Fan, S., Fan, Z., Fang, X., Fang, Z., Feng, Z., Fu, S., Gao, F., Gao, G., Gao, H., Gao, W., Gao, X., Gao, X., Gao, X., Gong, J., Gong, J., Gou, Y., Gu, S., Guo, A.-Y., Guo, G., Guo, X., Han, C., Hao, D., Hao, L., He, Q., He, S., He, S., Hu, W., Huang, K., Huang, T., Huang, X., Huang, Y., Jia, P., Jia, Y., Jiang, C., Jiang, M., Jiang, S., Jiang, T., Jiang, X., Jin, E., Jin, W., Kang, H., Kang, H., Kong, D., Lan, L., Lei, W., Li, C.-Y., Li, C., Li, C., Li, H., Li, J., Li, J., Li, L., Li, P., Li, R., Li, X., Li, Y., Li, Y., Li, Z., Liao, X., Lin, S., Lin, Y., Ling, Y., Liu, B., Liu, C.-J., Liu, D., Liu, G.-H., Liu, L., Liu, S., Liu, W., Liu, X., Liu, X., Liu, Y., Liu, Y., Lu, M., Lu, T., Luo, H., Luo, H., Luo, M., Luo, S., Luo, X., Ma, L., Ma, Y., Mai, J., Meng, J., Meng, X., Meng, Y., Meng, Y., Miao, W., Miao, Y.-R., Ni, L., Nie, Z., Niu, G., Niu, X., Niu, Y., Pan, R., Pan, S., Peng, D., Peng, J., Qi, J., Qi, Y., Qian, Q., Qin, Y., Qu, H., Ren, J., Ren, J., Sang, Z., Shang, K., Shen, W.-K., Shen, Y., Shi, Y., Song, S., Song, T., Su, T., Sun, J., Sun, Y., Sun, Y., Sun, Y., Tang, B., Tang, D., Tang, Q., Tang, Z., Tian, D., Tian, F., Tian, W., Tian, Z., Wang, A., Wang, G., Wang, G., Wang, J., Wang, J., Wang, P., Wang, P., Wang, W., Wang, Y., Wang, Y., Wang, Y., Wang, Y., Wang, Z., Wei, H., Wei, Y., Wei, Z., Wu, D., Wu, G., Wu, S., Wu, S., Wu, W., Wu, W., Wu, Z., Xia, Z., Xiao, J., Xiao, L., Xiao, Y., Xie, G., Xie, G.-Y., Xie, J., Xie, Y., Xiong, J., Xiong, Z., Xu, D., Xu, S., Xu, T., Xu, T., Xue, Y., Xue, Y., Yan, C., Yang, D., Yang, F., Yang, F., Yang, H., Yang, J., Yang, K., Yang, N., Yang, Q.-Y., Yang, S., Yang, X., Yang, X., Yang, X., Yang, Y.-G., Ye, W., Yu, C., Yu, F., Yu, S., Yuan, C., Yuan, H., Zeng, J., Zhai, S., Zhang, C., Zhang, F., Zhang, G., Zhang, M., Zhang, P., Zhang, Q., Zhang, R., Zhang, S., Zhang, W., Zhang, W., Zhang, W., Zhang, X., Zhang, X., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Y. E., Zhang, Y., Zhang, Z., Zhang, Z., Zhao, D., Zhao, F., Zhao, G., Zhao, M., Zhao, W., Zhao, W., Zhao, X., Zhao, Y., Zhao, Y., Zhao, Z., Zheng, X., Zheng, Y., Zhou, C., Zhou, H., Zhou, X., Zhou, X., Zhou, Y., Zhou, Y., Zhu, J., Zhu, L., Zhu, R., Zhu, T., Zong, W., Zou, D., & Zuo, Z.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-11-29
- Volume
- 52
- Issue
- D1
- Pages
- D18-D32
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W4389142474
- Cited by
- 348
- References
- 67
- FWCI
- 26.00
- Type
- journal article
- Language
- en
- Open access
- gold
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- Partners, C.-N. M. A., Bai, X., Bao, Y., Bei, S., Bu, C., Cao, R., Cao, Y., Cen, H., Chao, J., Chen, F., Chen, H., Chen, K., Chen, M., Chen, M., Chen, M., Chen, Q., Chen, R., Chen, S., Chen, T., . . . Zuo, Z. (2024). Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024. Nucleic Acids Research. https://doi.org/10.1093/nar/gkad1078
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