Backed by BARDA, Merck and Institute for Systems Biology are studying multiomic data to understand infection pathways and find biomarkers for symptom risk.
In Science this week: researchers present a computational method for predicting cellular differentiation state from single-cell RNA sequencing data, and more.
Researchers' picks range from emerging tools like deep learning to fundamental issues like false discovery rates and infrastructure for mass spec data sharing.
Highlights included mass spec-focused developments like data-independent acquisition and ion mobility along with platforms including Thermo Fisher's Q Exactive.
The company published a letter on its website explaining that the genetic and other analyses involved in its services were too costly for customers to support.
Researchers associated with the Cancer Genome Atlas (TCGA) Research Network will publish more than 25 papers this week to discuss findings from the initiative.
The company, still collecting utility data, anticipates that this more complex analysis will lead to better personalization of health and wellness strategies for its clients.
The approach could allow for unbiased detection of protein modifications with greater sensitivity than is possible using conventional shotgun mass spec.
