Latest Articles

In this article, we explore the importance of LEAF and how the choice of equipment – together with better habits – can significantly contribute to a greener and more sustainable future for laboratories.

In this article, we will explore some of the theory behind the one sample t test, assumptions of the test, interpretation and a worked example.

The Friedman test can be used to compare repeated measures or samples, such as following a person's biological functions over time. In this article, we consider its assumptions, when to use it and go through a worked example.

If you want to compare means of continuous variables between two groups or to a hypothesized value, you might need a z test. In this article, we explore the two types of z test, assumptions of the test, interpretation and a worked example.

Current diagnostic and monitoring techniques for cystic fibrosis can be uncomfortable for the patients. This article explores how breath analysis, an inexhaustible source with a comfortable and non-invasive sampling method, could overcome this challenge.

In this interview, Dr. Sarah Teichmann shares insights into her research interests, the goals and progress of the HCA to date, as well as her thoughts on how women can begin and build successful careers in science.

This article will focus on some of the advances currently being made in the field of liquid biopsy, from attempts to improve the sensitivity of tests, to using bodily fluids other than blood.

Proteomics provides insights into the regulation of biological processes and mechanisms of disease. In this article, we explore approaches scientists are using to find early markers of disease, new drug targets and strategies to overcome resistance to treatments.

In this article, we will explore the theory, assumptions and interpretation of Pearson’s correlation, including a worked example of how to calculate Pearson’s correlation coefficient, often referred to as Pearson’s r.

Scientists looked at common methods used to impute missing values in lipidomics datasets and tested how suitable they were for different types of missing data, with a special focus on values below the limit of detection.