Jérôme Reboul

Comparing machine learning models for predicting mutation status in Acute Myeloid Leukemia patients using RNA-seq data

The paper compares machine learning models to predict mutation status in AML patients using RNA-seq data, finding complex models achieve high accuracy for NPM1, IDH1/IDH2, and FLT3-ITD mutations.

Long-read only assembly of Drechmeria coniospora genomes reveals widespread chromosome plasticity and illustrates the limitations of current nanopore methods

The paper uses nanopore sequencing to assemble Drechmeria coniospora genomes, revealing chromosome plasticity and highlighting the limitations of current long-read methods.