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.
In PLOS this week: RNA-seq, ChIP-seq to determine metformin response; array-based approach to detect protozoa in blood; and more.
Fast Company takes a look at startups in the nutrigenomic space that aim to offer personalized diet advice.
In a glamorous event, the Breakthrough Foundation gave out more than $25 million in prizes to researchers.
Immunotherapy might treat cancer, but it also appears to come with a risk of a number of side effects, the New York Times reports.