From sequencing to intelligence: how AI is transforming metagenomics
Fathi A. Mubaraki · 2026
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Description
Fathi Mubaraki reviews how artificial intelligence is changing metagenomics, the study of whole microbial communities from their DNA, in a 2026 paper. A sample of gut water, soil, or gut fluid holds DNA from thousands of species at once. Shotgun sequencing reads it all, but the output is a flood of short, broken pieces. Making sense of that flood by hand is slow and error-prone.
The review follows the full pipeline of a metagenomics project. It covers deep learning tools for newer long-read sequencing, machine learning for cleaning and checking raw data, and AI help in rebuilding whole genomes from the pieces. Sorting fragments into the right genome bins gets special attention. The author argues that smart software is now what turns raw sequence data into knowledge about health and the environment.
Catalog record
| CREATOR | Fathi A. Mubaraki |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 49 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |