The University of Toronto's Mikko Taipale is working on developing new technologies to pave the way for gaining new biological insights.
Technion's Reut Shalgi is building up her lab to study how chaperones affect protein synthesis and protein folding.
EMBL-EBI's Oliver Stegle is taking a statistical approach to understanding genotype-phenotype associations.
Harvard Medical School's Kaitlin Samocha is studying de novo mutations linked to complex diseases like autism and schizophrenia.
Pacific Northwest National Laboratory's Sangtae Kim is taking on the challenges of analyzing top-down proteomic data.
At Brigham and Women's Hospital, Kimberly Glass is integrating different types of omics data to develop useful gene models.
Duke University's Slavé Petrovski is working to elucidate which genetic variations are likely benign versus ones that may be linked to disease.
By modeling organisms with systems biology data, Mount Sinai School of Medicine's Jonathan Karr plans to eventually engineer bacteria.
The Genome Institute of Singapore's Yue Wan is interested in why RNA folds as it does.
Sick Kids' Mohammed Uddin is analyzing various types of gene expression and mutational data to better understand autism.
An opinion piece in the New York Times urges lawmakers to keep genetic protections in place.
Research funding in Canada is to remain mostly the same, ScienceInsider reports.
In Science this week: random DNA replication errors play role in cancer, and more.
The Bill and Melinda Gates Foundation embarks on an open-access publishing path.