Ana Carolina Tahira

The paper identifies evolutionary shifts in lncRNA expression in the developing human cerebral cortex, showing increased de novo expression in excitatory neurons and associations with autism spectrum disorder.

The paper analyzes nascent transcriptomes of Trypanosoma cruzi to show asymmetric transcriptional abundance and links it to genome organization, chromatin status, and cis-acting elements.

The paper introduces a normalization method for CUT&RUN data using constant nonspecific signal regions, showing it outperforms existing standards across multiple conditions.

This paper develops a CNN model to predict how point mutations in intronic flanking regions affect micro-exon splicing, identifying conserved RNA-binding motifs as key predictors.