Accurate identification of metabolites, and other small chemicals, in biological and environmental samples has historically fallen short when using traditional methods.

A new study using proteogenomics to compare cancerous tissue with normal fallopian tube samples advances insights about the molecular machinery that underlies ovarian cancer.

Artificial intelligence helps researchers identify metabolites, the small molecules that underlie life.

PNNL scientists are on the front lines fighting against biological threats through early detection, diagnosis, and prevention strategies.

A new study focusing on the proteins involved in endometrial cancer, commonly known as uterine cancer, offers insights about which patients will need aggressive treatment and which won’t.

PNNL scientists Richard (Dick) Smith and Ljiljana (Lili) Paša-Tolić are recognized by The Analytical Scientist in its 2019 Power List as two of 2019’s top 100 minds in analytical science.

A multi-institute research team is exploring ways to improve residential walls across America, making homes warmer and drier and delivering significant energy savings.

Researchers at PNNL construct a novel approach that requires less field work while delivering critical information on building code compliance and energy efficiency in new homes.

Jaehun Chun spoke at a National Academies of Sciences, Engineering, and Medicine open data-gathering session on separation science.

Fifteen PNNL scientists are part of a team that has identified a set of biomarkers that indicate which patients infected with the Ebola virus are most at risk of dying from the disease.

The Multi-omics for Microbiomes conference focused on different approaches that let researchers paint better pictures of microbial communities.