Publication bias, in which positive results are preferentially reported by authors and published by journals, can restrict the visibility of evidence against false claims and allow such claims to be canonized inappropriately as facts.

Funnel plots of the Standardized Mean Difference versus the standard error are prone to distortion, leading to false-positive tests for funnel plot asymmetry, and therefore using the Normalised Mean Difference, or a sample size-based precision estimate, are more reliable alternatives.

A simulation study is used to demonstrate how mistakes in identifying the experimental unit and the unit of analysis can lead to incorrect analyses and inappropriate inferences when reporting research studies.

A new technique called CUT&RUN can map the distribution of proteins on the genome with higher resolution and accuracy than existing approaches.

Gender-bias in peer reviewing might persist even when gender-equity is reached because both male and female editors operate with a same-gender preference whose characteristics differ by editor-gender.

Horizon scanning has been used to identify opportunities and risks presented by 20 emerging issues in the field of biological engineering.

The Reproducibility Project: Cancer Biology will generate a high-quality dataset to explore questions about the reproducibility of research, and will make all data, analysis and other research materials openly available to the research community.

Scientists go to great lengths to ensure that data are collected and analysed properly, so why do they apply different standards to data about the number of times research papers have been cited and viewed?