Nathalie L.M.M. Pochet

The paper generates a collection of 65 isogenic human stem cell lines with PD-associated mutations to study Parkinson's disease, revealing that most genetic variation comes from cell culture rather than genome editing.

This paper introduces AMARETTO, a multi-omics integration algorithm that identifies pancancer driver genes related to smoking and antiviral responses by analyzing eleven cancer types.

The paper investigates the role of non-coding RNAs, specifically miRNAs and lincRNAs, in Alzheimer’s disease pathology by analyzing their expression in brain samples and integrating with mRNA data.

Filtering STAR's chimeric alignments against gene annotations outscored 15 other fusion callers on 60 cancer cell lines and ran fastest, averaging 2.3 single-core hours per sample.