Anna Wierczeiko

The paper identifies early brain state maladaptations in mouse and human neuroinflammation that contribute to disease progression independent of relapse activity.

DModE provides an end-to-end framework for analyzing Nanopore DRS data, enabling integrated differential expression and modification analysis with automated reporting.

This paper demonstrates real-time transcriptomic analysis using nanopore sequencing for quality control and differential expression in various experimental conditions.

This study evaluates improvements in direct RNA sequencing (DRS) using RNA004 chemistry and modified-base-calling models, showing enhanced throughput, accuracy, and detection of RNA modifications in clinical applications.

ModiDeC is a deep-learning classifier that identifies multiple RNA modifications from direct nanopore sequencing, validated on synthetic data and biological samples.

This study identifies miR-92a-3p as a regulator of RBFOX2 expression, which controls the splicing transition from neural progenitors to neurons in the developing mouse cortex.

The paper identifies sustained freezing during prolonged threat memory retrieval as an anxiety-endophenotype biomarker in both male and female inbred mice, with sex-specific transcriptomic differences in brain regions associated with psychiatric disorders.

NanopoReaTA provides a user-friendly tool for real-time RNA-seq analysis of nanopore sequencing data, enabling interactive decision-making during sequencing.