RefSeq Functional Elements as experimentally assayed nongenic reference standards and functional interactions in human and mouse

Eukaryotic genomes contain many nongenic elements that function in gene regulation, chromosome organization, recombination, repair, or replication, and mutation of those elements can affect genome function and cause disease. Although numerous epigenomic studies provide high coverage of gene regulato...

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Published in:Genome research Vol. 32; no. 1; p. 175
Main Authors: Farrell, Catherine M, Goldfarb, Tamara, Rangwala, Sanjida H, Astashyn, Alexander, Ermolaeva, Olga D, Hem, Vichet, Katz, Kenneth S, Kodali, Vamsi K, Ludwig, Frank, Wallin, Craig L, Pruitt, Kim D, Murphy, Terence D
Format: Journal Article
Language:English
Published: United States 01.01.2022
Subjects:
Animals
Computational Biology
Databases, Genetic
Eukaryota - genetics
Genome
Humans
Mice
Reference Standards
ISSN:1549-5469, 1549-5469
Online Access:Get more information
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Summary:Eukaryotic genomes contain many nongenic elements that function in gene regulation, chromosome organization, recombination, repair, or replication, and mutation of those elements can affect genome function and cause disease. Although numerous epigenomic studies provide high coverage of gene regulatory regions, those data are not usually exposed in traditional genome annotation and can be difficult to access and interpret without field-specific expertise. The National Center for Biotechnology Information (NCBI) therefore provides RefSeq Functional Elements (RefSeqFEs), which represent experimentally validated human and mouse nongenic elements derived from the literature. The curated data set is comprised of richly annotated sequence records, descriptive records in the NCBI Gene database, reference genome feature annotation, and activity-based interactions between nongenic regions, target genes, and each other. The data set provides succinct functional details and transparent experimental evidence, leverages data from multiple experimental sources, is readily accessible and adaptable, and uses a flexible data model. The data have multiple uses for basic functional discovery, bioinformatics studies, genetic variant interpretation; as known positive controls for epigenomic data evaluation; and as reference standards for functional interactions. Comparisons to other gene regulatory data sets show that the RefSeqFE data set includes a wider range of feature types representing more areas of biology, but it is comparatively smaller and subject to data selection biases. RefSeqFEs thus provide an alternative and complementary resource for experimentally assayed functional elements, with future data set growth expected.
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ISSN:1549-5469
1549-5469
DOI:10.1101/gr.275819.121