FoldAtlas: a repository for genome-wide RNA structure probing data

Matthew Norris*, Chun Kit Kwok, Jitender Cheema, Matthew Hartley, Richard J. Morris, Sharon Aviran, Yiliang Ding*

*Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    16 Citations (Scopus)
    58 Downloads (CityUHK Scholars)

    Abstract

    Most RNA molecules form internal base pairs, leading to a folded secondary structure. Some of these structures have been demonstrated to be functionally significant. High-throughput RNA structure chemical probing methods generate millions of sequencing reads to provide structural constraints for RNA secondary structure prediction. At present, processed data from these experiments are difficult to access without computational expertise. Here we present FoldAtlas, a web interface for accessing raw and processed structural data across thousands of transcripts. FoldAtlas allows a researcher to easily locate, view, and retrieve probing data for a given RNA molecule. We also provide in silico and in vivo secondary structure predictions for comparison, visualized in the browser as circle plots and topology diagrams. Data currently integrated into FoldAtlas are from a new high-depth Structure-seq data analysis in Arabidopsis thaliana, released with this work.
    Original languageEnglish
    Pages (from-to)306-308
    JournalBioinformatics
    Volume33
    Issue number2
    Online published22 Sept 2016
    DOIs
    Publication statusPublished - 15 Jan 2017

    Funding

    This work was supported by the Biotechnology and Biological Sciences Research Council (BBSRC) [BB/L025000/1 to M.N. and Y.D. and BB/N022572/1 to M.N. Y.D and S.A.]; and the National Institutes of Health [HG006860 to S.A.].

    Research Keywords

    • IN-VIVO
    • SEQ

    Publisher's Copyright Statement

    • This full text is made available under CC-BY-NC 4.0. https://creativecommons.org/licenses/by-nc/4.0/

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