%0 Conference Paper %A Farrell, Catherine M. %A Murphy, Terence D. %A Curation and Development Team, RefSeq %D 2020 %T Known versus Predicted: RefSeq Functional Elements as a Reference Set of High-Confidence Non-Genic Elements in Mouse %U https://tagc2020.figshare.com/articles/poster/Known_versus_Predicted_RefSeq_Functional_Elements_as_a_Reference_Set_of_High-Confidence_Non-Genic_Elements_in_Mouse/12150210 %R 10.6084/m9.figshare.12150210.v1 %2 https://tagc2020.figshare.com/ndownloader/files/22341672 %K Functional elements %K non-coding elements %K non-genic regions %K Genome annotation improvement %K Gene Regulatory Regions %K NCBI Reference Sequence %K RefSeq data %K mouse genome annotation %K Bioinformatics %K Computational Biology %K Epigenetics (incl. Genome Methylation and Epigenomics) %K Genome Structure and Regulation %K Genomics %X
Presentation of poster
888C at TAGC 2020 Online, as in the uploaded PDF (FarrellCM_TAGC2020_Poster.pdf). This poster describes NCBI
RefSeq Functional Elements, a dataset of human and mouse
high-confidence non-genic elements that have been experimentally validated in
the literature, including gene regulatory regions, structural elements and other well-characterized regions. Details on data structure,
access and use are provided, as well as analyses of the mouse
dataset showing the genomic locations of these elements relative to
genes, and with comparisons to predicted gene regulatory regions from
large-scale epigenomic datasets.