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@@ -154,4 +154,36 @@ The dataset contains the following fields, each of which is essential for unders
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  | uuid | Unique identifier (not in original description, but present in the JSON list) |
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  | rna_central_id | RNA Central ID (not in original description, but present in the JSON list) |
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  | curator_notes | Curator notes (not in original description, but present in the JSON list) |
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- | metadata_source | source of the metadata |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  | uuid | Unique identifier (not in original description, but present in the JSON list) |
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  | rna_central_id | RNA Central ID (not in original description, but present in the JSON list) |
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  | curator_notes | Curator notes (not in original description, but present in the JSON list) |
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+ | metadata_source | source of the metadata |
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+
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+ ## Citation
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+
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+ Please cite the original dataset using the following format:
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+ **BibTeX:**
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+ ```
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+ @article{10.1093/nar/gkac888,
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+ author = {Seal, Ruth L and Braschi, Bryony and Gray, Kristian and Jones, Tamsin E M and Tweedie, Susan and Haim-Vilmovsky, Liora and Bruford, Elspeth A},
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+ title = "{Genenames.org: the HGNC resources in 2023}",
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+ journal = {Nucleic Acids Research},
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+ volume = {51},
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+ number = {D1},
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+ pages = {D1003-D1009},
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+ year = {2022},
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+ month = {10},
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+ abstract = "{The HUGO Gene Nomenclature Committee (HGNC) assigns unique symbols and names to human genes. The HGNC database (www.genenames.org) currently contains over 43 000 approved gene symbols, over 19 200 of which are assigned to protein-coding genes, 14 000 to pseudogenes and nearly 9000 to non-coding RNA genes. The public website, www.genenames.org, displays all approved nomenclature within Symbol Reports that contain data curated by HGNC nomenclature advisors and links to related genomic, clinical, and proteomic information. Here, we describe updates to our resource, including improvements to our search facility and new download features.}",
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+ issn = {0305-1048},
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+ doi = {10.1093/nar/gkac888},
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+ url = {https://doi.org/10.1093/nar/gkac888},
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+ eprint = {https://academic.oup.com/nar/article-pdf/51/D1/D1003/48441239/gkac888.pdf},
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+ }
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+ ```
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+
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+ ## Dataset Card Authors
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+
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+ - **Author:** dwb2023
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+ ## Dataset Card Contact
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+ - **Contact:** dwb2023