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References Gene

Curation of Gene — listings under the References tab.

Summary Table

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NAME Main citation YEAR
GeneCards
Stelzer G et al., Curr Protoc Bioinformatics, 2016
2016
HUGO Gene Nomenclature Committee
Bruford EA et al., Nat Genet, 2020
2020
NCBI-Gene
Sayers EW et al., Nucleic Acids Res, 2021
2021

GeneCards

Reference
PUBMED_LINK
27322403
DESCRIPTION
GeneCards is a searchable, integrative database that provides comprehensive, user-friendly information on all annotated and predicted human genes. The knowledgebase automatically integrates gene-centric data from ~200 web sources, including genomic, transcriptomic, proteomic, genetic, clinical and functional information.
URL
https://www.genecards.org/
TITLE
The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses.
Main citation
Stelzer G, Rosen N, Plaschkes I, Zimmerman S, ...&, Lancet D. (2016) The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses. Curr Protoc Bioinformatics, 54 () 1.30.1-1.30.33. doi:10.1002/cpbi.5. PMID 27322403
ABSTRACT
GeneCards, the human gene compendium, enables researchers to effectively navigate and inter-relate the wide universe of human genes, diseases, variants, proteins, cells, and biological pathways. Our recently launched Version 4 has a revamped infrastructure facilitating faster data updates, better-targeted data queries, and friendlier user experience. It also provides a stronger foundation for the GeneCards suite of companion databases and analysis tools. Improved data unification includes gene-disease links via MalaCards and merged biological pathways via PathCards, as well as drug information and proteome expression. VarElect, another suite member, is a phenotype prioritizer for next-generation sequencing, leveraging the GeneCards and MalaCards knowledgebase. It automatically infers direct and indirect scored associations between hundreds or even thousands of variant-containing genes and disease phenotype terms. VarElect's capabilities, either independently or within TGex, our comprehensive variant analysis pipeline, help prepare for the challenge of clinical projects that involve thousands of exome/genome NGS analyses. © 2016 by John Wiley & Sons, Inc.
DOI
10.1002/cpbi.5

HUGO Gene Nomenclature Committee (HGNC)

Reference
PUBMED_LINK
32747822
FULL NAME
Human Genome Organisation Gene Nomenclature Committee
URL
https://www.genenames.org/
TITLE
Guidelines for human gene nomenclature.
Main citation
Bruford EA, Braschi B, Denny P, Jones TEM, ...&, Tweedie S. (2020) Guidelines for human gene nomenclature. Nat Genet, 52 (8) 754-758. doi:10.1038/s41588-020-0669-3. PMID 32747822
ABSTRACT
Standardized gene naming is crucial for effective communication about genes, and as genomics becomes increasingly important in healthcare, the need for a consistent language for human genes becomes ever more vital. Here we present the current HUGO Gene Nomenclature Committee (HGNC) guidelines for naming not only protein-coding but also RNA genes and pseudogenes, and outline the changes in approach and ethos that have resulted from the discoveries of the last few decades.
DOI
10.1038/s41588-020-0669-3

NCBI-Gene

Reference
PUBMED_LINK
33095870
DESCRIPTION
Gene integrates information from a wide range of species. A record may include nomenclature, Reference Sequences (RefSeqs), maps, pathways, variations, phenotypes, and links to genome-, phenotype-, and locus-specific resources worldwide.
URL
https://www.ncbi.nlm.nih.gov/gene/
TITLE
Database resources of the National Center for Biotechnology Information.
Main citation
Sayers EW, Beck J, Bolton EE, Bourexis D, ...&, Sherry ST. (2021) Database resources of the National Center for Biotechnology Information. Nucleic Acids Res, 49 (D1) D10-D17. doi:10.1093/nar/gkaa892. PMID 33095870
ABSTRACT
The National Center for Biotechnology Information (NCBI) provides a large suite of online resources for biological information and data, including the GenBank® nucleic acid sequence database and the PubMed® database of citations and abstracts published in life science journals. The Entrez system provides search and retrieval operations for most of these data from 34 distinct databases. The E-utilities serve as the programming interface for the Entrez system. Custom implementations of the BLAST program provide sequence-based searching of many specialized datasets. New resources released in the past year include a new PubMed interface and NCBI datasets. Additional resources that were updated in the past year include PMC, Bookshelf, Genome Data Viewer, SRA, ClinVar, dbSNP, dbVar, Pathogen Detection, BLAST, Primer-BLAST, IgBLAST, iCn3D and PubChem. All of these resources can be accessed through the NCBI home page at https://www.ncbi.nlm.nih.gov.
DOI
10.1093/nar/gkaa892