HIGHLIGHTS
- who: H. Busra Cagirici from the Department of Agriculture u2011 St, Albany, CA, USA have published the paper: G4Boost: a machine learning-based tool for quadruplex identification and stability prediction, in the Journal: (JOURNAL)
- what: Functional G4s have been associated with many important biological functions in plants and human, including but not limited to telomere maintenance [12], replication [13], a/ biotic stress [11] and translation [20].
- how: The authors developed a new machine_learning-based prediction model G4Boost to define and annotate putative topological structures of G4s and predict structural stability based on secondary_structure . . .
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