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HandWiki. GeneCards. Encyclopedia. Available online: https://encyclopedia.pub/entry/29571 (accessed on 24 September 2026).
HandWiki. GeneCards. Encyclopedia. Available at: https://encyclopedia.pub/entry/29571. Accessed September 24, 2026.
HandWiki. "GeneCards" Encyclopedia, https://encyclopedia.pub/entry/29571 (accessed September 24, 2026).
HandWiki. (2022, October 17). GeneCards. In Encyclopedia. https://encyclopedia.pub/entry/29571
HandWiki. "GeneCards." Encyclopedia. Web. 17 October, 2022.
GeneCards
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GeneCards is a database of human genes that provides genomic, proteomic, transcriptomic, genetic and functional information on all known and predicted human genes. It is being developed and maintained by the Crown Human Genome Center at the Weizmann Institute of Science. The database aims at providing a quick overview of the current available biomedical information about the searched gene, including the human genes, the encoded proteins, and the relevant diseases. The GeneCards database provides access to free Web resources about more than 7000 all known human genes that integrated from >90 data resources, such as HGNC, Ensembl, and NCBI. The core gene list is based on approved gene symbols published by the HUGO Gene Nomenclature Committee (HGNC). The information is carefully gathered and selected from these databases by its engine. If the search does not return any results, this database will give several suggestions to help users accomplish their search depending on the type of query and offer direct links to other databases’ search engine. Over time, the GeneCards database has developed a suite of tools (GeneDecks, GeneLoc, GeneALaCart) that has more specialised capability. Since 1998, the GeneCards database has been widely used by bioinformatics, genomics and medical communities for more than 15 years.

bioinformatics geneloc genomics

References

  1. Attwood, Teresa K.; Parry-Smith, David J. (1999). Introduction to Bioinformatics. Harlow Longman. 
  2. "GeneCards: integrating information about genes, proteins and diseases". Trends in Genetics 13 (4): 163. April 1997. doi:10.1016/S0168-9525(97)01103-7. PMID 9097728.  https://dx.doi.org/10.1016%2FS0168-9525%2897%2901103-7
  3. "In-silico human genomics with GeneCards". Human Genomics 5 (6): 709–17. October 2011. doi:10.1186/1479-7364-5-6-709. PMID 22155609.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3525253
  4. "GeneCards Version 3: the human gene integrator". Database 2010: baq020. August 2010. doi:10.1093/database/baq020. PMID 20689021.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2938269
  5. "GeneDecks". GeneCards. http://genecards.org/index.php?path=/GeneDecks/aboutGeneDecks. 
  6. "GeneDecks: paralog hunting and gene-set distillation with GeneCards annotation". Omics 13 (6): 477–87. December 2009. doi:10.1089/omi.2009.0069. PMID 20001862.  https://dx.doi.org/10.1089%2Fomi.2009.0069
  7. "GeneALaCart". GeneCards. http://genecards.org/BatchQueries/index.php. 
  8. "GeneLoc". GeneCards. http://genecards.weizmann.ac.il/geneloc/index.shtml. 
  9. "GeneCards". GeneCards. http://genecards.org/. 
  10. "Bioinformatics approach to extract information from genes". Journal of Diabetes in Developing Countries 26 (4): 149–51. 2006. doi:10.4103/0973-3930.33179.  https://dx.doi.org/10.4103%2F0973-3930.33179
  11. "GIFtS: annotation landscape analysis with GeneCards". BMC Bioinformatics 10 (1): 348. October 2009. doi:10.1186/1471-2105-10-348. PMID 19852797.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2774327
  12. "GeneAnnot: interfacing GeneCards with high-throughput gene expression compendia". Briefings in Bioinformatics 4 (4): 349–60. December 2003. doi:10.1093/bib/4.4.349. PMID 14725348.  https://dx.doi.org/10.1093%2Fbib%2F4.4.349
  13. "Aminode: Identification of Evolutionary Constraints in the Human Proteome". Scientific Reports 8 (1): 1357. January 2018. doi:10.1038/s41598-018-19744-w. PMID 29358731.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5778061
  14. "Serum lipids in the GENECARD study of coronary artery disease identify quantitative trait loci and phenotypic subsets on chromosomes 3q and 5q". Annals of Human Genetics 70 (Pt 6): 738–48. November 2006. doi:10.1111/j.1469-1809.2006.00288.x. PMID 17044848.  https://dx.doi.org/10.1111%2Fj.1469-1809.2006.00288.x
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