bioinformatics

The human body and its gut microbiome produce thousands of small molecules that shape how the body functions—influencing immunity, metabolism and more. Identifying what those molecules actually are has been one of the biomedical sciences’ most persistent bottlenecks. More than 80% of compounds detected in a typical biological sample cannot be matched to any known […]

Why do two people with similar lifestyles sometimes have very different body weights and metabolic health? Food intake and physical activity are crucial, but they do not tell the whole story. New research involving more than 1 million people suggests that rare differences in DNA can give some individuals a powerful natural advantage in the […] The post A Million Genomes Reveal a Metabolic Advanta…

Are you pushing your body to the limit or just driving it into the ground? In the world of high-performance athletics and biohacking, Heart Rate Variability (HRV) has become the "North Star" for recovery. But raw numbers from your Garmin or Oura Ring only tell half the story. To truly understand the relationship between sleep quality , exercise load , and stress perception , we need more than a d…

Dark fermentation is the conversion of various biomass wastes into biohydrogen. It occurs in the absence of light. The purpose of this review is to provide the latest advances in biohydrogen production via dark fermentation, focusing on feedstock characteristics, microbial community dynamics, and approaches to system integration. Carbohydrate-based substrates are ideal for the production of biohy…

Background: Digital health applications generate rich behavioral data; yet, how users transition between behavioral states remains poorly understood. Existing approaches show limited capacity to capture and represent the evolving and nuanced nature of real-world behavioral dynamics, which are essential for informing personalized behavior change interventions. Objective: This study aimed to unders…

I built a tool that tells you if a DNA mutation causes disease. No cloud API. No paid service. Just a Python CLI on your laptop. Here's how it works — and how you can run it yourself. The Problem hen a single nucleotide changes in DNA (a missense mutation), it can alter a protein's function. Some changes cause disease. Most don't. ClinVar — the NIH's database of known variants — has ~2,800 classi…

Nature Communications, Published online: 04 September 2026; doi:10.1038/s41467-026-77407-1 Crosslinking mass spectrometry (XLMS) has become the method of choice for uncovering protein interactions and structure in vivo. Here, the authors present pyXLMS – a python package and web application – to streamline the down-stream analysis of XLMS results to extract biological meaning.

Are you a new transfer student interested in learning more about the diverse fields and opportunities within bioengineering? Join the Breaking Down Bioengineering DeCal! This course is designed to introduce students to various bioengineering topics, research areas, and career paths through guest lectures from professors and industry professionals. Our class meets on Tuesdays from 7:00…

To swiftly and noninvasively assess the freshness of bighead carp heads within simulated cold chain environments, an excitation-emission matrix fluorescence spectroscopy coupled with a long short-term memory network (EEM-LSTM) model was developed. Through the parallel factor algorithm based on analysis of residuals, diagnosis of core consistency, and split-half evaluation, three key fluorescent c…

Beef production is an important component of the world’s food supply, with production being near 59 million tons in 2023 (USDA, 2023). Enhancing our understanding of the factors influencing metabolism will lead to improvements in production efficiency. Using RNA-seq and WGCNA of longissimus muscle samples, gene expression and metabolic pathway analyses were performed to examine relationships with…

The VIC lab has developed a tool called MIAAIM (Multi-omics Image Alignment and Analysis by Information Manifolds) that integrates multiple sources of imaging data to generate a more comprehensive view of human health and disease. By combining complementary imaging modalities, this modular framework may help identify patterns and biomarkers that are not visible through a […] The post VIC collabor…

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