The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB
Open accessAbstract
Successful development of biological databases requires accommodation of the burgeoning amounts of data from high-throughput genomics pipelines. As the volume of curated data in Animal QTLdb (https://www.animalgenome.org/QTLdb) increases exponentially, the resulting challenges must be met with rapid infrastructure development to effectively accommodate abundant data curation and make metadata analysis more powerful. The development of Animal QTLdb and CorrDB for the past 15 years has provided valuable tools for researchers to utilize a wealth of phenotype/genotype data to study the genetic architecture of livestock traits. We have focused our efforts on data curation, improved data quality maintenance, new tool developments, and database co-developments, in order to provide convenient platforms for users to query and analyze data. The database currently has 158 499 QTL/associations, 10 482 correlations and 1977 heritability data as a result of an average 32% data increase per year. In addition, we have made >14 functional improvements or new tool implementations since our last report. Our ultimate goals of database development are to provide infrastructure for data collection, curation, and annotation, and more importantly, to support innovated data structure for new types of data mining, data reanalysis, and networked genetic analysis that lead to the generation of new knowledge.
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
International Chicken Genome Sequencing Consortium (2004) · Nature · doi:10.1038/nature03154 · Cited by 2,750
Expansion of the Gene Ontology knowledgebase and resources
The Gene Ontology Consortium (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1108 · Cited by 1,850
Analyses of pig genomes provide insight into porcine demography and evolution
Groenen, M. A. M., Archibald, A. L., Uenishi, H., Tuggle, C. K., Takeuchi, Y., Rothschild, M. F., Rogel-Gaillard, C., Park, C., Milan, D., Megens, H.-J., et al. (2012) · Nature · doi:10.1038/nature11622 · Cited by 1,385
Self-citationThe Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution
The Bovine Genome Sequencing and Analysis Consortium, Elsik, C. G., Tellam, R. L., Worley, K. C., Gibbs, R. A., Muzny, D. M., Weinstock, G. M., Adelson, D. L., Eichler, E. E., Elnitski, L., et al. (2009) · Science · doi:10.1126/science.1169588 · Cited by 1,287
Self-citationA whole-genome assembly of the domestic cow, Bos taurus
Zimin, A. V., Delcher, A. L., Florea, L., Kelley, D. R., Schatz, M. C., Puiu, D., Hanrahan, F., Pertea, G., Van Tassell, C. P., Sonstegard, T. S., et al. (2009) · Genome Biology · doi:10.1186/gb-2009-10-4-r42 · Cited by 1,141
Berthelot, C., Brunet, F., Chalopin, D., Juanchich, A., Bernard, M., Noël, B., Bento, P., Da Silva, C., Labadie, K., Alberti, A., et al. (2014) · Nature Communications · doi:10.1038/ncomms4657 · Cited by 959
Cited by
Saravanan, K. A., Panigrahi, M., Kumar, H., Parida, S., Bhushan, B., Gaur, G. K., Dutt, T., Mishra, B. P., & Singh, R. K. (2021) · Genomics · doi:10.1016/j.ygeno.2021.02.009 · Cited by 98
Zhou, Y., Yang, L., Han, X., Han, J., Hu, Y., Li, F., Xia, H., Peng, L., Boschiero, C., Rosen, B. D., et al. (2022) · Genome Research · doi:10.1101/gr.276550.122 · Cited by 89
Igoshin, A., Yudin, N., Aitnazarov, R., Yurchenko, A. A., & Larkin, D. M. (2021) · Life · doi:10.3390/life11090959 · Cited by 19
Alvarenga, A. B., Oliveira, H. R., Turner, S. P., Garcia, A., Retallick, K. J., Miller, S. P., & Brito, L. F. (2023) · Genetics Selection Evolution · doi:10.1186/s12711-023-00777-3 · Cited by 18
Crum, T. E., Schnabel, R. D., Decker, J. E., & Taylor, J. F. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.758394 · Cited by 6
Metadata
- Authors
- Hu, Z.-L., Park, C. A., & Reecy, J. M.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-11-08
- Volume
- 47
- Issue
- D1
- Pages
- D701-D710
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2899867539
- Cited by
- 452
- References
- 20
- FWCI
- 27.90
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hu, Z.-L., Park, C. A., & Reecy, J. M. (2019). Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB. Nucleic Acids Research. https://doi.org/10.1093/nar/gky1084
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