The Reproducibility Project: Cancer Biology initially aimed to replicate the results of 50 high-impact research articles.

As robust efforts fail to reproduce findings of influential zebra finch studies from the 1980s, scientists discuss ways to reduce bias in such research.

A re-analysis of sequencing data from a 2016 study of these tiny metazoans reveals possible contamination, rather than an exchange of DNA among species.

The Catholic University of America professor was also known for his summer workshops on the latest techniques.

The IoT can link up many facets of research—from laboratory equipment to ideas—but scientists must be ready for the questions its implementation could raise.

Last year, researchers claimed the gene-editing method had accuracy issues, but a new whole-genome sequencing analysis by the same team finds otherwise.

Researchers did not observe the same link between a bacterium and human colon cancer that prior investigators had reported.

Including as few as two labs in a study improved the odds of getting the true effect size by as much as 23 percentage points, according to a replication model.

The use of underperforming computational tools is a major offender in science’s reproducibility crisis—and there’s growing momentum to avoid it.