YIPs

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.

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NPR reports that researchers in Italy are testing a gene drive aimed at controlling mosquito populations.

Researchers may experience the effects of the government shutdown for a while, the Los Angeles Times reports.

A new study finds that the majority of patients at a Tijuana clinic received a diagnosis after first-line genome sequencing, the San Diego Union-Tribune reports.

In Genome Biology this week: post-transcriptional modification-based stratification of glioblastoma, single-cell analysis of gene expression and methylation in human iPSCs, and more.