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Predicting regional somatic mutation rates using DNA motifs

The paper predicts somatic mutation rates in 13 cancers using DNA motifs and identifies impactful motifs and cancer-specific regions for classification.

Motto: Representing motifs in consensus sequences with minimum information loss

The paper introduces a method to convert position weight matrices into compact consensus sequences with minimal information loss, showing improved performance in identifying transcription factor binding sites.

Identification of DNA motifs that regulate DNA methylation

The paper identifies DNA motifs associated with methylation and unmethylation and shows their functional relevance in DNA methylation regulation and cancer.

Finding de novo methylated DNA motifs

The paper develops an extended motif finding pipeline to identify de novo methylated DNA motifs in Arabidopsis and human cell lines, revealing novel motifs recognized by transcription factors or their co-factors.