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.
The Associated Press reports that the US government wasted $341,000 on travel by former Health and Human Services Secretary Tom Price.
Women who post YouTube science videos get more critical comments and more comments about their appearance than male video hosts, the New York Times reports.
The Wall Street Journal writes that participating in genetic research brings up the specter of past research ethics lapses for some African Americans.
In PLOS this week: sequences influencing yeast prion aggregation or degradation, dengue virus genetic variants affect transmission dynamics, and more.