RAG: RNA-As-Graphs database—concepts, analysis, and features | Zendy

Hin Hark Gan | Zendy; Daniela Fera | Zendy; Julie A. Zorn | Zendy; Nahum Shiffeldrim | Zendy; Michael X. Tang | Zendy; Uri Laserson | Zendy; Namhee Kim | Zendy; Tamar Schlick | Zendy

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RAG: RNA-As-Graphs database—concepts, analysis, and features

Author(s) -

Hin Hark Gan,

Daniela Fera,

Julie A. Zorn,

Nahum Shiffeldrim,

Michael X. Tang,

Uri Laserson,

Namhee Kim,

Tamar Schlick

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth084

Subject(s) - computer science , rna , computational biology , database , theoretical computer science , biology , genetics , gene

Understanding RNA's structural diversity is vital for identifying novel RNA structures and pursuing RNA genomics initiatives. By classifying RNA secondary motifs based on correlations between conserved RNA secondary structures and functional properties, we offer an avenue for predicting novel motifs. Although several RNA databases exist, no comprehensive schemes are available for cataloguing the range and diversity of RNA's structural repertoire.

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