The paper analyzes genetic and health record data from a diverse population to uncover gene-phenotype associations and assess polygenic score performance across ancestries.

Cell · Mar 27, 2026Peer-reviewedGenetic & Genomic Medicine

Robust software development practices improve citations of RNA-seq tools

S T Bahade A S Lanje and S J Sharma S T Bahade A S Lanje and S J Sharma, Ecem İlgün, Tuna Okcu, Vladyslav Ostash, V. V. Bashynska, Can Alkan, Elisha Myoung, Naznin Nahar Alpana, Karishma Chhugani, Dhrithi Deshpande, Alex A. T. Bui, Kyle Ellrott, Olga Burduniuc, Tatiana V. Tatarinova, Viorel Munteanu, , Serghei Mangul

This study shows that better software development practices for RNA-seq tools lead to more citations, as evidenced by a strong statistical association between development quality and citation counts.

bioRxiv · Sep 5, 2025 · PreprintBioinformatics

Uncovering Medical Insights from Vast Amounts of Biomedical Data in Clinical Case Reports

Yijiang Zhou, David A. Liem, Jessica M. Lee, Quan Cao, Brian J. Bleakley, John Harry Caufield, Sanjana Murali, Wei Wang, Li Zhang, Alex A. T. Bui, Yizhou Sun, Karol E. Watson, Jiawei Han, Peipei Ping

The paper creates a resource platform for clinical case reports, including a dataset, metadata template, and tools to analyze trends and extract medical insights from PubMed case reports.

bioRxiv · Aug 4, 2017 · PreprintBioinformatics