Alex Jiang is currently a sophomore at Cornell University majoring in Computer Science with a minor in Cognitive Science. In 2017, he participated in the Summer Undergraduate Research Fellowship (SURF) Program at Cincinnati Children’s under the mentorship of Anil Jegga,
Video Spotlights Role of Informatics in Genomic Research
Novel computational approach harmonizes data across single-cell technologies, enables insights into kidney development
Data-Driven Analyses Enable Characterization of Idiopathic Pulmonary Fibrosis
Register Today for Precision Genomics Midwest Conference

Cincinnati Children’s and the University of Cincinnati have joined together to launch the first genomics conference in the Midwest region. Precision Genomics Midwest will be held Friday, May 19 at the Kingsgate Marriott Conference Center. The conference focuses on genomic research, clinical translation, and ethics.
Computational Analyses Identify New Therapeutic Targets For Idiopathic Pulmonary Fibrosis
2016 Research Annual Report Highlights Research Foundation, Division Accomplishments

The 2016 Research Annual Report of the Cincinnati Children’s Research Foundation published in January celebrates the outstanding research contributions of its 951 faculty across 52 research divisions or centers. In its 168 pages, the report details facts and figures highlighting Cincinnati Children’s accomplishments as a powerhouse in the world of pediatric research.
New Software Package uQIust Allows Efficient Clustering and Analysis of Big Macromolecular Data

A new open source software package called uQIust that enables protein and RNA structure prediction, molecular simulations, and retrieval and analysis of structural data is now available to investigators. It offers a versatile, efficient, and easy-to-use toolkit for macromolecular structure exploration and analysis, supporting ultrafast clustering and model quality assessment.
Body’s Cellular Building Blocks Arise from Genetic Tugs of War

With a jumble of colors resembling abstract art, this array shows the expression of genes (horizontal rows) that are associated with different types of bone marrow progenitor cells (vertical columns). Part of a study published Aug. 31 by Nature, the image was produced from a software program called Iterative Clustering and Guide-Gene Selection, developed by researchers at Cincinnati Children’s. It gives scientists an unbiased way to identify developing cells in various intermediate states and discover new cellular intermediates. Yellow indicates highly expressed genes in particular cells, while blue indicates low or no expression. The study addresses a fundamental question of developmental biology – the nature of intermediate cell states and the regulatory gene networks that cause cell-type specification.