- Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
- Analysis of Index Access Pattern in STAR RNA-seq Aligner
- Comprehensive Analysis of Circular RNAs in Endothelial Cells
- Improvements in Quality Control and Library Preparation for Targeted Sequencing Allowed Detection of Potentially Pathogenic Alterations in Circulating Cell-Free DNA Derived from Plasma of Brain Tumor Patients
- Personalized risk evaluation for outcome prediction in anca associated vasculitis (aav) using latent class analysis and machine learning
- Subgrouping and personalized risk evaluation for outcome prediction in ANCA associated vasculitis (AAV)
- MiR-191 as a Key Molecule in Aneurysmal Aortic Remodeling
- GraphTar: applying word2vec and graph neural networks to miRNA target prediction
- Role of miR-21-5p in the pathogenesis of abdominal aortic aneurysm regarding the Th17 pathway
- Optimizing STAR Aligner for High Throughput Computing in the Cloud
Alumni
Sabina Lichołai
Medical Doctor, Graduated from the Jagiellonian University
Her scientific interests focus on epigenetic dysregulation in pathogenesis of human diseases. She implemented high-throughput biological measurements as well as bioinformatics and computing techniques in order to obtain molecular profiles characteristic for particular human conditions. She is a genetics consultant for Sano. She was involved in various Polish and international scientific projects.