The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
DAVID gene ID conversion tool
Open accessAbstract
UNLABELLED: Our current biological knowledge is spread over many independent bioinformatics databases where many different types of gene and protein identifiers are used. The heterogeneous and redundant nature of these identifiers limits data analysis across different bioinformatics resources. It is an even more serious bottleneck of data analysis for larger datasets, such as gene lists derived from microarray and proteomic experiments. The DAVID Gene ID Conversion Tool (DICT), a web-based application, is able to convert user's input gene or gene product identifiers from one type to another in a more comprehensive and high-throughput manner with a uniquely enhanced ID-ID mapping database. AVAILABILITY: http://david.abcc.ncifcrf.gov/conversion.jsp.
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Citations
Cites
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
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Cited by
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Self-citationKoike-Yusa, H., Li, Y., Tan, E.-P., Velasco-Herrera, M. D. C., & Yusa, K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2800 · Cited by 1,064
Target analysis by integration of transcriptome and ChIP-seq data with BETA
Wang, S., Sun, H., Ma, J., Zang, C., Wang, C., Wang, J., Tang, Q., Meyer, C. A., Zhang, Y., & Liu, X. S. (2013) · Nature Protocols · doi:10.1038/nprot.2013.150 · Cited by 544
The Proteome of Prostate Cancer Bone Metastasis Reveals Heterogeneity with Prognostic Implications
Iglesias-Gato, D., Thysell, E., Tyanova, S., Crnalic, S., Santos, A., Lima, T. S., Geiger, T., Cox, J., Widmark, A., Bergh, A., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-1229 · Cited by 106
Metadata
- Authors
- Huang, D. W., Sherman, B. T., Stephens, R., Baseler, M. W., Lane, H. C., & Lempicki, R. A.
- Venue
- Bioinformation
- Publisher
- Biomedical Informatics
- Published
- 2008-07-14
- Volume
- 2
- Issue
- 10
- Pages
- 428-430
- ISSN
- 0973-2063 (ISSN-L)
- 0973-8894
- OpenAlex
- W1979978607
- Cited by
- 185
- References
- 1
- FWCI
- 2.73
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Huang, D. W., Sherman, B. T., Stephens, R., Baseler, M. W., Lane, H. C., & Lempicki, R. A. (2008). DAVID gene ID conversion tool. Bioinformation. https://doi.org/10.6026/97320630002428
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
