Microbiome differential abundance methods produce different results across 38 datasets

Identifying differentially abundant microbes is a common goal of microbiome studies. ALDEx2 and ANCOM-II produce the most consistent results across studies and agree best with the intersect of results from different approaches.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 Multiple methods are used interchangeably for this purpose in the literature.
• 2 Yet, there are few large-scale studies systematically exploring the appropriateness of using these tools interchangeably, and the scale and significance of the differences between them.
• 3 Here, we compare the performance of 14 differential abundance testing methods on 38 16S rRNA gene datasets with two sample groups.

These innovations can translate to real-world improvements in technology, infrastructure, and everyday tools.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source: