Christina Backes

The paper analyzes sncRNA-seq data from the PPMI cohort to identify miRNAs associated with Parkinson's disease progression and systemic inflammation.

miEAA 2.0 enhances miRNA enrichment analysis by supporting multiple species, adding new categories, and providing API access, with case studies in human and mouse data.

miRSwitch detects microRNA arm shifts and switches using sncRNA-seq data, providing analysis tools and a reference map of arm shift frequencies across tissues and species.

The paper assesses miRNA expression changes in blood samples from endurance-trained individuals and identifies miR-532-5p as a potential marker for training performance and metabolic response.

The paper uses machine learning to analyze circulating microRNAs and finds they can distinguish Alzheimer's patients from controls with 87.6% accuracy.

The paper integrates whole-genome sequencing and culture-based antibiotic resistance data from 11,087 clinical isolates to identify gene-drug resistance associations and create a resource for research.