Data talks with BioLizard: The power of proteomics

In this episode of Data Talks with BioLizard, experts Lennart Martens and Gerben Menschaert explore proteomics, highlighting how data science analyzes vast protein datasets, discusses emerging trends and technologies, and examines the challenges and opportunities shaping the future of the field.

In this episode, we dove deep into the world of proteomics, discussing how data science is being used to analyze the vast amounts of protein data generated by this cutting-edge field.

We are joined by leading experts in the field of data science and proteomics, Lennart Martens, professor at Ghent University and head of the Computational Omics and Systems Biology group, and Gerben Menschaert, Associate Professor at Ghent University and CSO of OHMX.bio, have both have made significant contributions to the proteomics field through their research, who share their insights on the latest trends and technologies, as well as the challenges and opportunities that lie ahead.

https://open.spotify.com/embed/episode/10UQQwiLQGe4fpSBwyV4wQ?si=x8R0OW1xSvua422aJD63FQ&utm_source=oembed

How spatial biology improves clinical trial success in oncology

How spatial biology improves clinical trial success in oncology

Oncology drug development often begins in patients, allowing early safety and efficacy insights. Yet many cancer drugs still fail in the clinic. We validate the target but ignore its context within the tumor microenvironment. This article explores why spatial biology may improve clinical success.

Why bioinformatics workflows require experienced software engineers

Why bioinformatics workflows require experienced software engineers

Bioinformatics pipelines break for the smallest reasons: package updates, shifting dependencies, or “it only works on my machine.” This post explains why experienced software engineers and DevOps practices (Git, CI/CD, IaC) are essential to keep workflows reproducible, stable, and scalable.