BioReflect – your personal literature study assistant

BioReflect is a personal literature study assistant that clusters publications, integrates gene, disease, and chemical annotations, and links literature to your data, helping researchers efficiently explore science, uncover associations, and streamline regulatory or exploratory research.

When your literature search produces hundreds or even thousands of results, you may find yourself having to look up each gene individually – and the process quickly goes from painstakingly slow to impossible.

With BioReflect, we have designed an at-a-glance and up-to-date global overview of publications, with topic-based clustering that lets you breeze through your literature searches with ease and in an unbiased manner. BioReflect can fast-track your preparation for regulatory approval or exploratory reading by helping you to select the most important relevant scientific literature, and by easily linking literature directly to your data for easy scientific exploration.

In addition, BioReflect seamlessly integrates disease, gene and chemical annotations in its reported results, and therefore can help reveal gene-disease associations and more from publications. BioReflect is a valuable tool across your project lifecycles – from initial exploration phases to patents and clinical trial searches.

 

Get started now to start using BioReflect and get the BioLizard experience – where advanced technology and deep biological expertise come together to transform your data-driven research.

How spatial biology improves clinical trial success in oncology

How spatial biology improves clinical trial success in oncology

In oncology, the drug development path is unique: Phase 0 and Phase I trials are typically conducted in patients rather than healthy volunteers, allowing for early assessment of efficacy and patient selection alongside safety. Yet, even with this early clinical insight, many cancer drugs show promise in the lab but fail to transition effectively into the clinic. This often happens because, while we verify that a drug’s target is present, we frequently overlook its context, specifically its location, the surrounding microenvironment, and its interaction with neighboring cells. By revisiting real-world examples of discontinued trials, this post explains why understanding the “where” is just as critical as the “what”, and how spatial biology is positioning itself as a valuable avenue for validating clinical potential.

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.