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.
Mice in New York harbor both antibiotic-resistant bacteria and novel viruses, according to a new analysis of their fecal microbiomes.
Human Heredity and Health in Africa Initiative has issued guidelines for genomic research in the region, according to Nature News.
The Associated Press reports that an ethicist predicts that prenatal diagnosis and other advances will lead to more choices being available to prospective parents.
In Genome Biology this week: approach to analyze alternative polyadenylation, algorithm to predict transcriptomic structural variations, and more.