Adaliftover: high-resolution identification of orthologous regulatory elements with adaptive liftover

HIGHLIGHTS

• who: Bioinformatics, and Editor Tobias, Marschall from the Department of Statistics, University of Wisconsin-Madison, University Madison, WI, USA have published the research work: AdaLiftOver: high-resolution identification of orthologous regulatory elements with Adaptive liftOver, in the Journal: (JOURNAL)
• what: The authors develop Adaptive liftOver (AdaLiftOver) a large-scale computational tool for identifying functionally similar orthologous non-coding regions across species. This promoter region can be mapped to the correct counterpart after extension on both sides and, hence, is classified as a false negative for the purposes of this exploration (Supplementary Section 1.1).
 



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